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mariacallous · 2 months ago

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A young entrepreneur who was among the earliest known recruiters for Elon Musk’s so-called Department of Government Efficiency (DOGE) has a new, related gig—and he’s hiring. Anthony Jancso, cofounder of AccelerateX, a government tech startup, is looking for technologists to work on a project that aims to have artificial intelligence perform tasks that are currently the responsibility of tens of thousands of federal workers.

Jancso, a former Palantir employee, wrote in a Slack with about 2000 Palantir alumni in it that he’s hiring for a “DOGE orthogonal project to design benchmarks and deploy AI agents across live workflows in federal agencies,” according to an April 21 post reviewed by WIRED. Agents are programs that can perform work autonomously.

“We’ve identified over 300 roles with almost full-process standardization, freeing up at least 70k FTEs for higher-impact work over the next year,” he continued, essentially claiming that tens of thousands of federal employees could see many aspects of their job automated and replaced by these AI agents. Workers for the project, he wrote, would be based on site in Washington, DC, and would not require a security clearance; it isn’t clear for whom they would work. Palantir did not respond to requests for comment.

The post was not well received. Eight people reacted with clown face emojis, three reacted with a custom emoji of a man licking a boot, two reacted with custom emoji of Joaquin Phoenix giving a thumbs down in the movie Gladiator, and three reacted with a custom emoji with the word “Fascist.” Three responded with a heart emoji.

“DOGE does not seem interested in finding ‘higher impact work’ for federal employees,” one person said in a comment that received 11 heart reactions. “You’re complicit in firing 70k federal employees and replacing them with shitty autocorrect.”

“Tbf we��re all going to be replaced with shitty autocorrect (written by chatgpt),” another person commented, which received one “+1” reaction.

“How ‘DOGE orthogonal’ is it? Like, does it still require Kremlin oversight?” another person said in a comment that received five reactions with a fire emoji. “Or do they just use your credentials to log in later?”

Got a Tip?Are you a current or former government employee who wants to talk about what's happening? We'd like to hear from you. Using a nonwork phone or computer, contact the reporter securely on Signal at carolinehaskins.61 and vittoria89.82.

AccelerateX was originally called AccelerateSF, which VentureBeat reported in 2023 had received support from OpenAI and Anthropic. In its earliest incarnation, AccelerateSF hosted a hackathon for AI developers aimed at using the technology to solve San Francisco’s social problems. According to a 2023 Mission Local story, for instance, Jancso proposed that using large language models to help businesses fill out permit forms to streamline the construction paperwork process might help drive down housing prices. (OpenAI did not respond to a request for comment. Anthropic spokesperson Danielle Ghiglieri tells WIRED that the company "never invested in AccelerateX/SF,” but did sponsor a hackathon AccelerateSF hosted in 2023 by providing free access to its API usage at a time when its Claude API “was still in beta.”)

In 2024, the mission pivoted, with the venture becoming known as AccelerateX. In a post on X announcing the change, the company posted, “Outdated tech is dragging down the US Government. Legacy vendors sell broken systems at increasingly steep prices. This hurts every American citizen.” AccelerateX did not respond to a request for comment.

According to sources with direct knowledge, Jancso disclosed that AccelerateX had signed a partnership agreement with Palantir in 2024. According to the LinkedIn of someone described as one of AccelerateX’s cofounders, Rachel Yee, the company looks to have received funding from OpenAI’s Converge 2 Accelerator. Another of AccelerateSF’s cofounders, Kay Sorin, now works for OpenAI, having joined the company several months after that hackathon. Sorin and Yee did not respond to requests for comment.

Jancso’s cofounder, Jordan Wick, a former Waymo engineer, has been an active member of DOGE, appearing at several agencies over the past few months, including the Consumer Financial Protection Bureau, National Labor Relations Board, the Department of Labor, and the Department of Education. In 2023, Jancso attended a hackathon hosted by ScaleAI; WIRED found that another DOGE member, Ethan Shaotran, also attended the same hackathon.

Since its creation in the first days of the second Trump administration, DOGE has pushed the use of AI across agencies, even as it has sought to cut tens of thousands of federal jobs. At the Department of Veterans Affairs, a DOGE associate suggested using AI to write code for the agency’s website; at the General Services Administration, DOGE has rolled out the GSAi chatbot; the group has sought to automate the process of firing government employees with a tool called AutoRIF; and a DOGE operative at the Department of Housing and Urban Development is using AI tools to examine and propose changes to regulations. But experts say that deploying AI agents to do the work of 70,000 people would be tricky if not impossible.

A federal employee with knowledge of government contracting, who spoke to WIRED on the condition of anonymity because they were not authorized to speak to the press, says, “A lot of agencies have procedures that can differ widely based on their own rules and regulations, and so deploying AI agents across agencies at scale would likely be very difficult.”

Oren Etzioni, cofounder of the AI startup Vercept, says that while AI agents can be good at doing some things—like using an internet browser to conduct research—their outputs can still vary widely and be highly unreliable. For instance, customer service AI agents have invented nonexistent policies when trying to address user concerns. Even research, he says, requires a human to actually make sure what the AI is spitting out is correct.

“We want our government to be something that we can rely on, as opposed to something that is on the absolute bleeding edge,” says Etzioni. “We don't need it to be bureaucratic and slow, but if corporations haven't adopted this yet, is the government really where we want to be experimenting with the cutting edge AI?”

Etzioni says that AI agents are also not great 1-1 fits for job replacements. Rather, AI is able to do certain tasks or make others more efficient, but the idea that the technology could do the jobs of 70,000 employees would not be possible. “Unless you're using funny math,” he says, “no way.”

Jancso, first identified by WIRED in February, was one of the earliest recruiters for DOGE in the months before Donald Trump was inaugurated. In December, Jancso, who sources told WIRED said he had been recruited by Steve Davis, president of the Musk-founded Boring Company and a current member of DOGE, used the Palantir alumni group to recruit DOGE members. On December 2nd, 2024, he wrote, “I’m helping Elon’s team find tech talent for the Department of Government Efficiency (DOGE) in the new admin. This is a historic opportunity to build an efficient government, and to cut the federal budget by 1/3. If you’re interested in playing a role in this mission, please reach out in the next few days.”

According to one source at SpaceX, who asked to remain anonymous as they are not authorized to speak to the press, Jancso appeared to be one of the DOGE members who worked out of the company’s DC office in the days before inauguration along with several other people who would constitute some of DOGE’s earliest members. SpaceX did not respond to a request for comment.

Palantir was cofounded by Peter Thiel, a billionaire and longtime Trump supporter with close ties to Musk. Palantir, which provides data analytics tools to several government agencies including the Department of Defense and the Department of Homeland Security, has received billions of dollars in government contracts. During the second Trump administration, the company has been involved in helping to build a “mega API” to connect data from the Internal Revenue Service to other government agencies, and is working with Immigration and Customs Enforcement to create a massive surveillance platform to identify immigrants to target for deportation.

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tomblomfield · 3 months ago

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Vibecoding a production app

TL;DR I built and launched a recipe app with about 20 hours of work - recipeninja.ai

Background: I'm a startup founder turned investor. I taught myself (bad) PHP in 2000, and picked up Ruby on Rails in 2011. I'd guess 2015 was the last time I wrote a line of Ruby professionally. I've built small side projects over the years, but nothing with any significant usage. So it's fair to say I'm a little rusty, and I never really bothered to learn front end code or design.

In my day job at Y Combinator, I'm around founders who are building amazing stuff with AI every day and I kept hearing about the advances in tools like Lovable, Cursor and Windsurf. I love building stuff and I've always got a list of little apps I want to build if I had more free time.

About a month ago, I started playing with Lovable to build a word game based on Articulate (it's similar to Heads Up or Taboo). I got a working version, but I quickly ran into limitations - I found it very complicated to add a supabase backend, and it kept re-writing large parts of my app logic when I only wanted to make cosmetic changes. It felt like a toy - not ready to build real applications yet.

But I kept hearing great things about tools like Windsurf. A couple of weeks ago, I looked again at my list of app ideas to build and saw "Recipe App". I've wanted to build a hands-free recipe app for years. I love to cook, but the problem with most recipe websites is that they're optimized for SEO, not for humans. So you have pages and pages of descriptive crap to scroll through before you actually get to the recipe. I've used the recipe app Paprika to store my recipes in one place, but honestly it feels like it was built in 2009. The UI isn't great for actually cooking. My hands are covered in food and I don't really want to touch my phone or computer when I'm following a recipe.

So I set out to build what would become RecipeNinja.ai

For this project, I decided to use Windsurf. I wanted a Rails 8 API backend and React front-end app and Windsurf set this up for me in no time. Setting up homebrew on a new laptop, installing npm and making sure I'm on the right version of Ruby is always a pain. Windsurf did this for me step-by-step. I needed to set up SSH keys so I could push to GitHub and Heroku. Windsurf did this for me as well, in about 20% of the time it would have taken me to Google all of the relevant commands.

I was impressed that it started using the Rails conventions straight out of the box. For database migrations, it used the Rails command-line tool, which then generated the correct file names and used all the correct Rails conventions. I didn't prompt this specifically - it just knew how to do it. It one-shotted pretty complex changes across the React front end and Rails backend to work seamlessly together.

To start with, the main piece of functionality was to generate a complete step-by-step recipe from a simple input ("Lasagne"), generate an image of the finished dish, and then allow the user to progress through the recipe step-by-step with voice narration of each step. I used OpenAI for the LLM and ElevenLabs for voice. "Grandpa Spuds Oxley" gave it a friendly southern accent.

Recipe summary:

And the recipe step-by-step view:

I was pretty astonished that Windsurf managed to integrate both the OpenAI and Elevenlabs APIs without me doing very much at all. After we had a couple of problems with the open AI Ruby library, it quickly fell back to a raw ruby HTTP client implementation, but I honestly didn't care. As long as it worked, I didn't really mind if it used 20 lines of code or two lines of code. And Windsurf was pretty good about enforcing reasonable security practices. I wanted to call Elevenlabs directly from the front end while I was still prototyping stuff, and Windsurf objected very strongly, telling me that I was risking exposing my private API credentials to the Internet. I promised I'd fix it before I deployed to production and it finally acquiesced.

I decided I wanted to add "Advanced Import" functionality where you could take a picture of a recipe (this could be a handwritten note or a picture from a favourite a recipe book) and RecipeNinja would import the recipe. This took a handful of minutes.

Pretty quickly, a pattern emerged; I would prompt for a feature. It would read relevant files and make changes for two or three minutes, and then I would test the backend and front end together. I could quickly see from the JavaScript console or the Rails logs if there was an error, and I would just copy paste this error straight back into Windsurf with little or no explanation. 80% of the time, Windsurf would correct the mistake and the site would work. Pretty quickly, I didn't even look at the code it generated at all. I just accepted all changes and then checked if it worked in the front end.

After a couple of hours of work on the recipe generation, I decided to add the concept of "Users" and include Google Auth as a login option. This would require extensive changes across the front end and backend - a database migration, a new model, new controller and entirely new UI. Windsurf one-shotted the code. It didn't actually work straight away because I had to configure Google Auth to add `localhost` as a valid origin domain, but Windsurf talked me through the changes I needed to make on the Google Auth website. I took a screenshot of the Google Auth config page and pasted it back into Windsurf and it caught an error I had made. I could login to my app immediately after I made this config change. Pretty mindblowing. You can now see who's created each recipe, keep a list of your own recipes, and toggle each recipe to public or private visibility. When I needed to set up Heroku to host my app online, Windsurf generated a bunch of terminal commands to configure my Heroku apps correctly. It went slightly off track at one point because it was using old Heroku APIs, so I pointed it to the Heroku docs page and it fixed it up correctly.

I always dreaded adding custom domains to my projects - I hate dealing with Registrars and configuring DNS to point at the right nameservers. But Windsurf told me how to configure my GoDaddy domain name DNS to work with Heroku, telling me exactly what buttons to press and what values to paste into the DNS config page. I pointed it at the Heroku docs again and Windsurf used the Heroku command line tool to add the "Custom Domain" add-ons I needed and fetch the right Heroku nameservers. I took a screenshot of the GoDaddy DNS settings and it confirmed it was right.

I can see very soon that tools like Cursor & Windsurf will integrate something like Browser Use so that an AI agent will do all this browser-based configuration work with zero user input.

I'm also impressed that Windsurf will sometimes start up a Rails server and use curl commands to check that an API is working correctly, or start my React project and load up a web preview and check the front end works. This functionality didn't always seem to work consistently, and so I fell back to testing it manually myself most of the time.

When I was happy with the code, it wrote git commits for me and pushed code to Heroku from the in-built command line terminal. Pretty cool!

I do have a few niggles still. Sometimes it's a little over-eager - it will make more changes than I want, without checking with me that I'm happy or the code works. For example, it might try to commit code and deploy to production, and I need to press "Stop" and actually test the app myself. When I asked it to add analytics, it went overboard and added 100 different analytics events in pretty insignificant places. When it got trigger-happy like this, I reverted the changes and gave it more precise commands to follow one by one.

The one thing I haven't got working yet is automated testing that's executed by the agent before it decides a task is complete; there's probably a way to do it with custom rules (I have spent zero time investigating this). It feels like I should be able to have an integration test suite that is run automatically after every code change, and then any test failures should be rectified automatically by the AI before it says it's finished.

Also, the AI should be able to tail my Rails logs to look for errors. It should spot things like database queries and automatically optimize my Active Record queries to make my app perform better. At the moment I'm copy-pasting in excerpts of the Rails logs, and then Windsurf quickly figures out that I've got an N+1 query problem and fixes it. Pretty cool.

Refactoring is also kind of painful. I've ended up with several files that are 700-900 lines long and contain duplicate functionality. For example, list recipes by tag and list recipes by user are basically the same.

Recipes by user:

This should really be identical to list recipes by tag, but Windsurf has implemented them separately.

Recipes by tag:

If I ask Windsurf to refactor these two pages, it randomly changes stuff like renaming analytics events, rewriting user-facing alerts, and changing random little UX stuff, when I really want to keep the functionality exactly the same and only move duplicate code into shared modules. Instead, to successfully refactor, I had to ask Windsurf to list out ideas for refactoring, then prompt it specifically to refactor these things one by one, touching nothing else. That worked a little better, but it still wasn't perfect

Sometimes, adding minor functionality to the Rails API will often change the entire API response, rather just adding a couple of fields. Eg It will occasionally change Index Recipes to nest responses in an object { "recipes": [ ] }, versus just returning an array, which breaks the frontend. And then another minor change will revert it. This is where adding tests to identify and prevent these kinds of API changes would be really useful. When I ask Windsurf to fix these API changes, it will instead change the front end to accept the new API json format and also leave the old implementation in for "backwards compatibility". This ends up with a tangled mess of code that isn't really necessary. But I'm vibecoding so I didn't bother to fix it.

Then there was some changes that just didn't work at all. Trying to implement Posthog analytics in the front end seemed to break my entire app multiple times. I tried to add user voice commands ("Go to the next step"), but this conflicted with the eleven labs voice recordings. Having really good git discipline makes vibe coding much easier and less stressful. If something doesn't work after 10 minutes, I can just git reset head --hard. I've not lost very much time, and it frees me up to try more ambitious prompts to see what the AI can do. Less technical users who aren't familiar with git have lost months of work when the AI goes off on a vision quest and the inbuilt revert functionality doesn't work properly. It seems like adding more native support for version control could be a massive win for these AI coding tools.

Another complaint I've heard is that the AI coding tools don't write "production" code that can scale. So I decided to put this to the test by asking Windsurf for some tips on how to make the application more performant. It identified I was downloading 3 MB image files for each recipe, and suggested a Rails feature for adding lower resolution image variants automatically. Two minutes later, I had thumbnail and midsize variants that decrease the loading time of each page by 80%. Similarly, it identified inefficient N+1 active record queries and rewrote them to be more efficient. There are a ton more performance features that come built into Rails - caching would be the next thing I'd probably add if usage really ballooned.

Before going to production, I kept my promise to move my Elevenlabs API keys to the backend. Almost as an afterthought, I asked asked Windsurf to cache the voice responses so that I'd only make an Elevenlabs API call once for each recipe step; after that, the audio file was stored in S3 using Rails ActiveStorage and served without costing me more credits. Two minutes later, it was done. Awesome.

At the end of a vibecoding session, I'd write a list of 10 or 15 new ideas for functionality that I wanted to add the next time I came back to the project. In the past, these lists would've built up over time and never gotten done. Each task might've taken me five minutes to an hour to complete manually. With Windsurf, I was astonished how quickly I could work through these lists. Changes took one or two minutes each, and within 30 minutes I'd completed my entire to do list from the day before. It was astonishing how productive I felt. I can create the features faster than I can come up with ideas.

Before launching, I wanted to improve the design, so I took a quick look at a couple of recipe sites. They were much more visual than my site, and so I simply told Windsurf to make my design more visual, emphasizing photos of food. Its first try was great. I showed it to a couple of friends and they suggested I should add recipe categories - "Thai" or "Mexican" or "Pizza" for example. They showed me the DoorDash app, so I took a screenshot of it and pasted it into Windsurf. My prompt was "Give me a carousel of food icons that look like this". Again, this worked in one shot. I think my version actually looks better than Doordash 🤷‍♂️

Doordash:

My carousel:

I also saw I was getting a console error from missing Favicon. I always struggle to make Favicon for previous sites because I could never figure out where they were supposed to go or what file format they needed. I got OpenAI to generate me a little recipe ninja icon with a transparent background and I saved it into my project directory. I asked Windsurf what file format I need and it listed out nine different sizes and file formats. Seems annoying. I wondered if Windsurf could just do it all for me. It quickly wrote a series of Bash commands to create a temporary folder, resize the image and create the nine variants I needed. It put them into the right directory and then cleaned up the temporary directory. I laughed in amazement. I've never been good at bash scripting and I didn't know if it was even possible to do what I was asking via the command line. I guess it is possible.

After launching and posting on Twitter, a few hundred users visited the site and generated about 1000 recipes. I was pretty happy! Unfortunately, the next day I woke up and saw that I had a $700 OpenAI bill. Someone had been abusing the site and costing me a lot of OpenAI credits by creating a single recipe over and over again - "Pasta with Shallots and Pineapple". They did this 12,000 times. Obviously, I had not put any rate limiting in.

Still, I was determined not to write any code. I explained the problem and asked Windsurf to come up with solutions. Seconds later, I had 15 pretty good suggestions. I implemented several (but not all) of the ideas in about 10 minutes and the abuse stopped dead in its tracks. I won't tell you which ones I chose in case Mr Shallots and Pineapple is reading. The app's security is not perfect, but I'm pretty happy with it for the scale I'm at. If I continue to grow and get more abuse, I'll implement more robust measures.

Overall, I am astonished how productive Windsurf has made me in the last two weeks. I'm not a good designer or frontend developer, and I'm a very rusty rails dev. I got this project into production 5 to 10 times faster than it would've taken me manually, and the level of polish on the front end is much higher than I could've achieved on my own. Over and over again, I would ask for a change and be astonished at the speed and quality with which Windsurf implemented it. I just sat laughing as the computer wrote code.

The next thing I want to change is making the recipe generation process much more immediate and responsive. Right now, it takes about 20 seconds to generate a recipe and for a new user it feels like maybe the app just isn't doing anything.

Instead, I'm experimenting with using Websockets to show a streaming response as the recipe is created. This gives the user immediate feedback that something is happening. It would also make editing the recipe really fun - you could ask it to "add nuts" to the recipe, and see as the recipe dynamically updates 2-3 seconds later. You could also say "Increase the quantities to cook for 8 people" or "Change from imperial to metric measurements".

I have a basic implementation working, but there are still some rough edges. I might actually go and read the code this time to figure out what it's doing!

I also want to add a full voice agent interface so that you don't have to touch the screen at all. Halfway through cooking a recipe, you might ask "I don't have cilantro - what could I use instead?" or say "Set a timer for 30 minutes". That would be my dream recipe app!

Tools like Windsurf or Cursor aren't yet as useful for non-technical users - they're extremely powerful and there are still too many ways to blow your own face off. I have a fairly good idea of the architecture that I want Windsurf to implement, and I could quickly spot when it was going off track or choosing a solution that was inappropriately complicated for the feature I was building. At the moment, a technical background is a massive advantage for using Windsurf. As a rusty developer, it made me feel like I had superpowers.

But I believe within a couple of months, when things like log tailing and automated testing and native version control get implemented, it will be an extremely powerful tool for even non-technical people to write production-quality apps. The AI will be able to make complex changes and then verify those changes are actually working. At the moment, it feels like it's making a best guess at what will work and then leaving the user to test it. Implementing better feedback loops will enable a truly agentic, recursive, self-healing development flow. It doesn't feel like it needs any breakthrough in technology to enable this. It's just about adding a few tool calls to the existing LLMs. My mind races as I try to think through the implications for professional software developers.

Meanwhile, the LLMs aren't going to sit still. They're getting better at a frightening rate. I spoke to several very capable software engineers who are Y Combinator founders in the last week. About a quarter of them told me that 95% of their code is written by AI. In six or twelve months, I just don't think software engineering is going exist in the same way as it does today. The cost of creating high-quality, custom software is quickly trending towards zero.

You can try the site yourself at recipeninja.ai

Here's a complete list of functionality. Of course, Windsurf just generated this list for me 🫠

RecipeNinja: Comprehensive Functionality Overview

Core Concept: the app appears to be a cooking assistant application that provides voice-guided recipe instructions, allowing users to cook hands-free while following step-by-step recipe guidance.

Backend (Rails API) Functionality

User Authentication & Authorization

Google OAuth integration for user authentication

User account management with secure authentication flows

Authorization system ensuring users can only access their own private recipes or public recipes

Recipe Management

Recipe Model Features:

Unique public IDs (format: "r_" + 14 random alphanumeric characters) for security

User ownership (user_id field with NOT NULL constraint)

Public/private visibility toggle (default: private)

Comprehensive recipe data storage (title, ingredients, steps, cooking time, etc.)

Image attachment capability using Active Storage with S3 storage in production

Recipe Tagging System:

Many-to-many relationship between recipes and tags

Tag model with unique name attribute

RecipeTag join model for the relationship

Helper methods for adding/removing tags from recipes

Recipe API Endpoints:

CRUD operations for recipes

Pagination support with metadata (current_page, per_page, total_pages, total_count)

Default sorting by newest first (created_at DESC)

Filtering recipes by tags

Different serializers for list view (RecipeSummarySerializer) and detail view (RecipeSerializer)

Voice Generation

Voice Recording System:

VoiceRecording model linked to recipes

Integration with Eleven Labs API for text-to-speech conversion

Caching of voice recordings in S3 to reduce API calls

Unique identifiers combining recipe_id, step_id, and voice_id

Force regeneration option for refreshing recordings

Audio Processing:

Using streamio-ffmpeg gem for audio file analysis

Active Storage integration for audio file management

S3 storage for audio files in production

Recipe Import & Generation

RecipeImporter Service:

OpenAI integration for recipe generation

Conversion of text recipes into structured format

Parsing and normalization of recipe data

Import from photos functionality

Frontend (React) Functionality

User Interface Components

Recipe Selection & Browsing:

Recipe listing with pagination

Real-time updates with 10-second polling mechanism

Tag filtering functionality

Recipe cards showing summary information (without images)

"View Details" and "Start Cooking" buttons for each recipe

Recipe Detail View:

Complete recipe information display

Recipe image display

Tag display with clickable tags

Option to start cooking from this view

Cooking Experience:

Step-by-step recipe navigation

Voice guidance for each step

Keyboard shortcuts for hands-free control:

Arrow keys for step navigation

Space for play/pause audio

Escape to return to recipe selection

URL-based step tracking (e.g., /recipe/r_xlxG4bcTLs9jbM/classic-lasagna/steps/1)

State Management & Data Flow

Recipe Service:

API integration for fetching recipes

Support for pagination parameters

Tag-based filtering

Caching mechanisms for recipe data

Image URL handling for detailed views

Authentication Flow:

Google OAuth integration using environment variables

User session management

Authorization header management for API requests

Progressive Web App Features

PWA capabilities for installation on devices

Responsive design for various screen sizes

Favicon and app icon support

Deployment Architecture

Two-App Structure:

cook-voice-api: Rails backend on Heroku

cook-voice-wizard: React frontend/PWA on Heroku

Backend Infrastructure:

Ruby 3.2.2

PostgreSQL database (Heroku PostgreSQL addon)

Amazon S3 for file storage

Environment variables for configuration

Frontend Infrastructure:

React application

Environment variable configuration

Static buildpack on Heroku

SPA routing configuration

Security Measures:

HTTPS enforcement

Rails credentials system

Environment variables for sensitive information

Public ID system to mask database IDs

This comprehensive overview covers the major functionality of the Cook Voice application based on the available information. The application appears to be a sophisticated cooking assistant that combines recipe management with voice guidance to create a hands-free cooking experience.

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himanitech · 4 months ago

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Wielding Big Data Using PySpark

Introduction to PySpark

PySpark is the Python API for Apache Spark, a distributed computing framework designed to process large-scale data efficiently. It enables parallel data processing across multiple nodes, making it a powerful tool for handling massive datasets.

Why Use PySpark for Big Data?

Scalability: Works across clusters to process petabytes of data.

Speed: Uses in-memory computation to enhance performance.

Flexibility: Supports various data formats and integrates with other big data tools.

Ease of Use: Provides SQL-like querying and DataFrame operations for intuitive data handling.

Setting Up PySpark

To use PySpark, you need to install it and set up a Spark session. Once initialized, Spark allows users to read, process, and analyze large datasets.

Processing Data with PySpark

PySpark can handle different types of data sources such as CSV, JSON, Parquet, and databases. Once data is loaded, users can explore it by checking the schema, summary statistics, and unique values.

Common Data Processing Tasks

Viewing and summarizing datasets.

Handling missing values by dropping or replacing them.

Removing duplicate records.

Filtering, grouping, and sorting data for meaningful insights.

Transforming Data with PySpark

Data can be transformed using SQL-like queries or DataFrame operations. Users can:

Select specific columns for analysis.

Apply conditions to filter out unwanted records.

Group data to find patterns and trends.

Add new calculated columns based on existing data.

Optimizing Performance in PySpark

When working with big data, optimizing performance is crucial. Some strategies include:

Partitioning: Distributing data across multiple partitions for parallel processing.

Caching: Storing intermediate results in memory to speed up repeated computations.

Broadcast Joins: Optimizing joins by broadcasting smaller datasets to all nodes.

Machine Learning with PySpark

PySpark includes MLlib, a machine learning library for big data. It allows users to prepare data, apply machine learning models, and generate predictions. This is useful for tasks such as regression, classification, clustering, and recommendation systems.

Running PySpark on a Cluster

PySpark can run on a single machine or be deployed on a cluster using a distributed computing system like Hadoop YARN. This enables large-scale data processing with improved efficiency.

Conclusion

PySpark provides a powerful platform for handling big data efficiently. With its distributed computing capabilities, it allows users to clean, transform, and analyze large datasets while optimizing performance for scalability.

For Free Tutorials for Programming Languages Visit-https://www.tpointtech.com/

#BigData #PySpark #DataScience #MachineLearning #ApacheSpark #DataEngineering #DataAnalytics

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pokehaven · 1 year ago

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Development Update

Hi, everyone! It’s about time I shared a few updates on development of PokéHaven! :D

Production has begun on all areas of game—the database, the API, and the user interface are all in active development as I write this. We have pretty much finalized conceptualization of our features that will be available at launch, so now we’re getting into the nitty and gritty of actually implementing those features we’ve defined. We have also entered the phase where we can start doing data entry for things like Pokémon information and sprites!

We have also finished working out an affordable solution for our server and web host! It was very exciting to deploy a live site to interact with for the first time recently. It can’t do much other than switch between a few different pages at the moment, but it exists, and that is a huge step toward making this project a reality!

That’s all I have for the moment! We have put a pause on making a Discord server for the time being, as we’d like to concentrate all our energy into making the game before we introduce community management into the mix.

I do check this blog daily though so please feel free to send in asks about whatever you like!

#progress update

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monisha1199 · 2 years ago

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Journey to AWS Proficiency: Unveiling Core Services and Certification Paths

Amazon Web Services, often referred to as AWS, stands at the forefront of cloud technology and has revolutionized the way businesses and individuals leverage the power of the cloud. This blog serves as your comprehensive guide to understanding AWS, exploring its core services, and learning how to master this dynamic platform. From the fundamentals of cloud computing to the hands-on experience of AWS services, we'll cover it all. Additionally, we'll discuss the role of education and training, specifically highlighting the value of ACTE Technologies in nurturing your AWS skills, concluding with a mention of their AWS courses.

The Journey to AWS Proficiency:

1. Basics of Cloud Computing:

Getting Started: Before diving into AWS, it's crucial to understand the fundamentals of cloud computing. Begin by exploring the three primary service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Gain a clear understanding of what cloud computing is and how it's transforming the IT landscape.

Key Concepts: Delve into the key concepts and advantages of cloud computing, such as scalability, flexibility, cost-effectiveness, and disaster recovery. Simultaneously, explore the potential challenges and drawbacks to get a comprehensive view of cloud technology.

2. AWS Core Services:

Elastic Compute Cloud (EC2): Start your AWS journey with Amazon EC2, which provides resizable compute capacity in the cloud. Learn how to create virtual servers, known as instances, and configure them to your specifications. Gain an understanding of the different instance types and how to deploy applications on EC2.

Simple Storage Service (S3): Explore Amazon S3, a secure and scalable storage service. Discover how to create buckets to store data and objects, configure permissions, and access data using a web interface or APIs.

Relational Database Service (RDS): Understand the importance of databases in cloud applications. Amazon RDS simplifies database management and maintenance. Learn how to set up, manage, and optimize RDS instances for your applications. Dive into database engines like MySQL, PostgreSQL, and more.

3. AWS Certification:

Certification Paths: AWS offers a range of certifications for cloud professionals, from foundational to professional levels. Consider enrolling in certification courses to validate your knowledge and expertise in AWS. AWS Certified Cloud Practitioner, AWS Certified Solutions Architect, and AWS Certified DevOps Engineer are some of the popular certifications to pursue.

Preparation: To prepare for AWS certifications, explore recommended study materials, practice exams, and official AWS training. ACTE Technologies, a reputable training institution, offers AWS certification training programs that can boost your confidence and readiness for the exams.

4. Hands-on Experience:

AWS Free Tier: Register for an AWS account and take advantage of the AWS Free Tier, which offers limited free access to various AWS services for 12 months. Practice creating instances, setting up S3 buckets, and exploring other services within the free tier. This hands-on experience is invaluable in gaining practical skills.

5. Online Courses and Tutorials:

Learning Platforms: Explore online learning platforms like Coursera, edX, Udemy, and LinkedIn Learning. These platforms offer a wide range of AWS courses taught by industry experts. They cover various AWS services, architecture, security, and best practices.

Official AWS Resources: AWS provides extensive online documentation, whitepapers, and tutorials. Their website is a goldmine of information for those looking to learn more about specific AWS services and how to use them effectively.

Amazon Web Services (AWS) represents an exciting frontier in the realm of cloud computing. As businesses and individuals increasingly rely on the cloud for innovation and scalability, AWS stands as a pivotal platform. The journey to AWS proficiency involves grasping fundamental cloud concepts, exploring core services, obtaining certifications, and acquiring practical experience. To expedite this process, online courses, tutorials, and structured training from renowned institutions like ACTE Technologies can be invaluable. ACTE Technologies' comprehensive AWS training programs provide hands-on experience, making your quest to master AWS more efficient and positioning you for a successful career in cloud technology.

#aws #aws course #aws training #tech

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priya-joshi · 1 year ago

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Elevating Your Full-Stack Developer Expertise: Exploring Emerging Skills and Technologies

Introduction: In the dynamic landscape of web development, staying at the forefront requires continuous learning and adaptation. Full-stack developers play a pivotal role in crafting modern web applications, balancing frontend finesse with backend robustness. This guide delves into the evolving skills and technologies that can propel full-stack developers to new heights of expertise and innovation.

Pioneering Progress: Key Skills for Full-Stack Developers

1. Innovating with Microservices Architecture:

Microservices have redefined application development, offering scalability and flexibility in the face of complexity. Mastery of frameworks like Kubernetes and Docker empowers developers to architect, deploy, and manage microservices efficiently. By breaking down monolithic applications into modular components, developers can iterate rapidly and respond to changing requirements with agility.

2. Embracing Serverless Computing:

The advent of serverless architecture has revolutionized infrastructure management, freeing developers from the burdens of server maintenance. Platforms such as AWS Lambda and Azure Functions enable developers to focus solely on code development, driving efficiency and cost-effectiveness. Embrace serverless computing to build scalable, event-driven applications that adapt seamlessly to fluctuating workloads.

3. Crafting Progressive Web Experiences (PWEs):

Progressive Web Apps (PWAs) herald a new era of web development, delivering native app-like experiences within the browser. Harness the power of technologies like Service Workers and Web App Manifests to create PWAs that are fast, reliable, and engaging. With features like offline functionality and push notifications, PWAs blur the lines between web and mobile, captivating users and enhancing engagement.

4. Harnessing GraphQL for Flexible Data Management:

GraphQL has emerged as a versatile alternative to RESTful APIs, offering a unified interface for data fetching and manipulation. Dive into GraphQL's intuitive query language and schema-driven approach to simplify data interactions and optimize performance. With GraphQL, developers can fetch precisely the data they need, minimizing overhead and maximizing efficiency.

5. Unlocking Potential with Jamstack Development:

Jamstack architecture empowers developers to build fast, secure, and scalable web applications using modern tools and practices. Explore frameworks like Gatsby and Next.js to leverage pre-rendering, serverless functions, and CDN caching. By decoupling frontend presentation from backend logic, Jamstack enables developers to deliver blazing-fast experiences that delight users and drive engagement.

6. Integrating Headless CMS for Content Flexibility:

Headless CMS platforms offer developers unprecedented control over content management, enabling seamless integration with frontend frameworks. Explore platforms like Contentful and Strapi to decouple content creation from presentation, facilitating dynamic and personalized experiences across channels. With headless CMS, developers can iterate quickly and deliver content-driven applications with ease.

7. Optimizing Single Page Applications (SPAs) for Performance:

Single Page Applications (SPAs) provide immersive user experiences but require careful optimization to ensure performance and responsiveness. Implement techniques like lazy loading and server-side rendering to minimize load times and enhance interactivity. By optimizing resource delivery and prioritizing critical content, developers can create SPAs that deliver a seamless and engaging user experience.

8. Infusing Intelligence with Machine Learning and AI:

Machine learning and artificial intelligence open new frontiers for full-stack developers, enabling intelligent features and personalized experiences. Dive into frameworks like TensorFlow.js and PyTorch.js to build recommendation systems, predictive analytics, and natural language processing capabilities. By harnessing the power of machine learning, developers can create smarter, more adaptive applications that anticipate user needs and preferences.

9. Safeguarding Applications with Cybersecurity Best Practices:

As cyber threats continue to evolve, cybersecurity remains a critical concern for developers and organizations alike. Stay informed about common vulnerabilities and adhere to best practices for securing applications and user data. By implementing robust security measures and proactive monitoring, developers can protect against potential threats and safeguard the integrity of their applications.

10. Streamlining Development with CI/CD Pipelines:

Continuous Integration and Deployment (CI/CD) pipelines are essential for accelerating development workflows and ensuring code quality and reliability. Explore tools like Jenkins, CircleCI, and GitLab CI/CD to automate testing, integration, and deployment processes. By embracing CI/CD best practices, developers can deliver updates and features with confidence, driving innovation and agility in their development cycles.

#full stack developer #education #information #full stack web development #front end development #web development #frameworks #technology #backend #full stack developer course

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flyingwhalegirl · 2 years ago

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oh yeah and if you don't feel like using neocities' horrible editor and archaic ui or you want to do more complex stuff, fear not! neocities is in fact pure html and css so the process is exactly the same as creating a site from scratch; you can even take a neocities site and host it standalone if you want. Pro tip: PHP and javascript aren't as hard as they sound, a domain is 5 bucks a year for a cheap one that you can grab from namecheap or porkbun or wherever the hell, and you can get better free hosting with a service like Netlify.

This is how my personal site in my bio works: I work on a local copy of the site on my pc, which I can push to a repo on my Github. This means all the HTML, CSS, and JS is mine (and stackoverflow's). Netlify then grabs that and within 15 seconds of me pushing a change to Github, it's reflected in the live copy. I do have to pay a yearly domain fee, but it means I get complete control over my site, access to better tools to make it awesome, and faster, more reliable hosting.

If you already have a neocities site that you want to move off of there for either ux reasons or technical limitations, you can just reuse all your code and host this way too! And the same goes the other way round, if you don't want to pay for a domain, you can move your own site over to neocities for free!

neocities guide - why you should build your own html website

do you miss the charm of the 90s/00s web where sites had actual personality instead of the same minimalistic theme? are you feeling drained by social media and the constant corporate monopoly of your data and time? do you want to be excited about the internet again? try neocities!!

what is neocities?

neocities is a free hosting website that lets you build your own html website from scratch, with total creative control. in their own words: "we are tired of living in an online world where people are isolated from each other on boring, generic social networks that don't let us truly express ourselves. it's time we took back our personalities from these sterilized, lifeless, monetized, data mined, monitored addiction machines and let our creativity flourish again."

why should I make my own website?

web3 has been overtaken by capitalism & conformity. websites that once were meant to be fun online social spaces now exist solely to steal your data and sell you things. it sucks!! building a personal site is a great way to express yourself and take control of your online experience.

what would I even put on a website?

the best part about making your own site is that you can do literally whatever the hell you want! focus on a specific subject or make it a wild collection of all your interests. share your art! make a shrine for one of your interests! post a picture of every bird you see when you step outside! make a collection of your favorite blinkies! the world is your oyster !! here are some cool example sites to inspire you: recently updated neocities sites | it can be fun to just look through these and browse people's content! space bar | local interstellar dive bar creature feature | halloween & monsters big gulp supreme peanutbuttaz | personal site dragodiluna linwood | personal site patho grove | personal site

getting started: neocities/html guide

sound interesting? here are some guides to help you get started, especially if you aren't familiar with html/css sadgrl.online webmastery | a fantastic resource for getting started with html & web revival. also has a layout builder that you can use to start with in case starting from scratch is too intimidating web design in 4 minutes | good for learning coding basics w3schools | html tutorials templaterr | demo & html for basic web elements eggramen test pages | css page templates to get started with sadgrl background tiles | bg tiles rivendell background tiles | more free bg tiles

fun stuff to add to your site

web revival manifestos & communities

also, there's actually a pretty cool community of people out there who want to bring joy back to the web! melonland project | web project/community celebrating individual & joyful online experiences. Also has an online forum melonland intro to web revival | what is web revival? melonking manifesto | status cafe | share your current status nightfall city | online community onio.cafe | leave a message and enjoy the ambiance sadgrl internet manifesto | yesterweb internet manifesto | sadly defunct, still a great resource reclaiming online social spaces | great manifesto on cultivating your online experience

in conclusion

i want everyone to make a neocities site because it's fun af and i love seeing everyone's weird personal sites that they made outside of the control of capitalism :) say hi to me on neocities

#tech is fun

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sonicxswap · 22 hours ago

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Inside SonicX: How We’re Empowering Web3 Innovators

The Future of Web3 Belongs to the Builders

Innovation doesn’t just happen — it needs the right environment to grow. In the world of Web3, that means giving creators access to fast infrastructure, low-friction tools, and platforms that champion open innovation.

At SonicxSwap, we’re on a mission to become that platform. From token creators and DeFi architects to NFT game designers and AI-powered dApp builders — we’re empowering Web3 innovators to do more, build faster, and launch smarter.

What Sets SonicX Apart for Web3 Creators?

We’re not offering just another DeFi toolset. SonicX is an ecosystem — a living, evolving space where developers and creators are supported from day one.

Here’s how we make it possible:

1. Launch Without Limits

Got an idea? Turn it into a live token economy using our frictionless creator launch framework.

One-click token launches via Sonicx.fun

Bonding curve pricing models for fair fundraising

Tools to instantly build liquidity, community, and traction

This is not just for devs — even non-technical founders can launch a token and build an economy around it. We make Web3 creativity borderless.

2. Ready-to-Build Infrastructure

SonicX is built to support real use cases with speed, scale, and simplicity. Our infrastructure includes:

Pre-audited smart contract templates for instant use

SDKs, developer APIs, and ready RPC endpoints

Community-led repositories and grant-backed tools

We eliminate technical friction so that innovation becomes execution.

3. Real Builders. Real Use Cases.

From on-chain fantasy prediction games to micro-finance DeFi dApps, the SonicX ecosystem is already home to bold creators.

Examples include:

Utility tokens for gated content platforms

Staking-based NFTs for long-term community engagement

DeFi bots that plug into SonicX’s trading layer

Our ecosystem encourages real-world utility, not just hype.

4. Open Governance, Open Innovation

We’re creating a system where builders co-own the protocol. Through our governance model powered by the $SX token, creators can:

Propose platform upgrades

Vote on funding rounds for new tools

Shape the direction of SonicX from the inside

This is about decentralized ownership of innovation itself.

5. We Fund What You Build

Building something impactful? We back it with:

Creator Grants

Growth bounties

Early user airdrops

Visibility support across our community channels

SonicX isn’t just a place to deploy — it’s a place to grow with fuel.

Why We’re Doing This

The current Web3 landscape is still hard to navigate — especially for early-stage innovators. High gas fees, complex tech stacks, and gatekeeping platforms often kill great ideas before they launch.

SonicX is changing that by building a zero-friction launch zone for Web3 creators — powered by a scalable chain and community-first values.

Final Thoughts

Web3 isn’t about waiting for the next big thing. It’s about creating it.

If you’re a creator, builder, founder, or visionary — SonicxSwap is built for you. We’re not just enabling Web3 innovation. We’re setting it free.

👉 Ready to build with us? Join the movement at www.sonicxswap.com

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weetechsolution · 22 hours ago

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Software Development Process—Definition, Stages, and Methodologies

In the rapidly evolving digital era, software applications are the backbone of business operations, consumer services, and everyday convenience. Behind every high-performing app or platform lies a structured, strategic, and iterative software development process. This process isn't just about writing code—it's about delivering a solution that meets specific goals and user needs.

This blog explores the definition, key stages, and methodologies used in software development—providing you a clear understanding of how digital solutions are brought to life and why choosing the right software development company matters.

What is the software development process?

The software development process is a series of structured steps followed to design, develop, test, and deploy software applications. It encompasses everything from initial idea brainstorming to final deployment and post-launch maintenance.

It ensures that the software meets user requirements, stays within budget, and is delivered on time while maintaining high quality and performance standards.

Key Stages in the Software Development Process

While models may vary based on methodology, the core stages remain consistent:

1. Requirement Analysis

At this stage, the development team gathers and documents all requirements from stakeholders. It involves understanding:

Business goals

User needs

Functional and non-functional requirements

Technical specifications

Tools such as interviews, surveys, and use-case diagrams help in gathering detailed insights.

2. Planning

Planning is crucial for risk mitigation, cost estimation, and setting timelines. It involves

Project scope definition

Resource allocation

Scheduling deliverables

Risk analysis

A solid plan keeps the team aligned and ensures smooth execution.

3. System Design

Based on requirements and planning, system architects create a blueprint. This includes:

UI/UX design

Database schema

System architecture

APIs and third-party integrations

The design must balance aesthetics, performance, and functionality.

4. Development (Coding)

Now comes the actual building. Developers write the code using chosen technologies and frameworks. This stage may involve:

Front-end and back-end development

API creation

Integration with databases and other systems

Version control tools like Git ensure collaborative and efficient coding.

5. Testing

Testing ensures the software is bug-free and performs well under various scenarios. Types of testing include:

Unit Testing

Integration Testing

System Testing

User Acceptance Testing (UAT)

QA teams identify and document bugs for developers to fix before release.

6. Deployment

Once tested, the software is deployed to a live environment. This may include:

Production server setup

Launch strategy

Initial user onboarding

Deployment tools like Docker or Jenkins automate parts of this stage to ensure smooth releases.

7. Maintenance & Support

After release, developers provide regular updates and bug fixes. This stage includes

Performance monitoring

Addressing security vulnerabilities

Feature upgrades

Ongoing maintenance is essential for long-term user satisfaction.

Popular Software Development Methodologies

The approach you choose significantly impacts how flexible, fast, or structured your development process will be. Here are the leading methodologies used by modern software development companies:

🔹 Waterfall Model

A linear, sequential approach where each phase must be completed before the next begins. Best for:

Projects with clear, fixed requirements

Government or enterprise applications

Pros:

Easy to manage and document

Straightforward for small projects

Cons:

Not flexible for changes

Late testing could delay bug detection

🔹 Agile Methodology

Agile breaks the project into smaller iterations, or sprints, typically 2–4 weeks long. Features are developed incrementally, allowing for flexibility and client feedback.

Pros:

High adaptability to change

Faster delivery of features

Continuous feedback

Cons:

Requires high team collaboration

Difficult to predict final cost and timeline

🔹 Scrum Framework

A subset of Agile, Scrum includes roles like Scrum Master and Product Owner. Work is done in sprint cycles with daily stand-up meetings.

Best For:

Complex, evolving projects

Cross-functional teams

🔹 DevOps

Combines development and operations to automate and integrate the software delivery process. It emphasizes:

Continuous integration

Continuous delivery (CI/CD)

Infrastructure as code

Pros:

Faster time-to-market

Reduced deployment failures

🔹 Lean Development

Lean focuses on minimizing waste while maximizing productivity. Ideal for startups or teams on a tight budget.

Principles include:

Empowering the team

Delivering as fast as possible

Building integrity in

Why Partnering with a Professional Software Development Company Matters

No matter how refined your idea is, turning it into a working software product requires deep expertise. A reliable software development company can guide you through every stage with

Technical expertise: They offer full-stack developers, UI/UX designers, and QA professionals.

Industry knowledge: They understand market trends and can tailor solutions accordingly.

Agility and flexibility: They adapt to changes and deliver incremental value quickly.

Post-deployment support: From performance monitoring to feature updates, support never ends.

Partnering with professionals ensures your software is scalable, secure, and built to last.

Conclusion: Build Smarter with a Strategic Software Development Process

The software development process is a strategic blend of analysis, planning, designing, coding, testing, and deployment. Choosing the right development methodology—and more importantly, the right partner—can make the difference between success and failure.

Whether you're developing a mobile app, enterprise software, or SaaS product, working with a reputed software development company will ensure your vision is executed flawlessly and efficiently.

📞 Ready to build your next software product? Connect with an expert software development company today and turn your idea into an innovation-driven reality!

#software development #software development company #software #development #software solutions

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articles-submission · 1 day ago

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Master the Code: How Java, Python, and Web Development Tutoring on MentorForHire Can Supercharge Your Tech Career

In a world powered by software, coding is no longer just a niche skill—it's a core competency. Whether you're looking to break into tech, ace a coding bootcamp, land your first junior developer job, or scale your expertise as a senior engineer, personalized mentoring makes a dramatic difference. That’s where MentorForHire.com comes in—a platform that connects you with industry professionals for hands-on Java Tutoring, Python Tutoring, and Web Development Tutoring.

Here’s how specialized tutoring in these key areas can accelerate your learning journey and help you achieve your software development goals.

Why One-on-One Coding Tutoring Beats Generic Online Courses

Self-paced tutorials and free courses are great for dipping your toes in—but when you're serious about growth, they often fall short. Why?

You don’t know what you don’t know.

Debugging can become a time-wasting nightmare.

Without accountability, progress slows down.

You’re not getting job-ready feedback from a real developer.

MentorForHire solves all of these problems by connecting you with real mentors who’ve worked in tech and know what it takes to succeed. Whether you're working on a class assignment, preparing for interviews, or building a full-stack project, you'll get tailored support.

Java Tutoring: Build Enterprise-Grade Skills from the Ground Up

Java isn’t just for beginners—it powers billions of devices, from Android apps to massive backend systems used in finance, healthcare, and e-commerce. If you're serious about software engineering, Java Tutoring offers a rock-solid foundation.

With a mentor, you can:

Understand core concepts like classes, inheritance, interfaces, and exception handling.

Master data structures and algorithms for whiteboard interviews.

Build scalable applications using Java frameworks like Spring and Hibernate.

Get help with unit testing, debugging, and version control.

Prepare for certifications like Oracle Certified Associate (OCA) and Oracle Certified Professional (OCP).

A mentor will not only explain the "how" of Java development but also the "why"—turning you from a coder into a software architect-in-training.

Python Tutoring: The Most Versatile Language in Tech

Python has become the go-to language for beginners and professionals alike because of its simplicity and power. Whether you want to get into automation, data science, machine learning, or back-end web development, Python Tutoring gives you the skills you need to thrive.

On MentorForHire.com, Python mentors can help you:

Write clean, efficient, and maintainable code.

Understand essential concepts like functions, loops, list comprehensions, and file I/O.

Use libraries like NumPy, pandas, Matplotlib, and scikit-learn for data analysis.

Build web apps with Flask or Django from scratch.

Automate tasks using Python scripts or integrate with APIs.

Whether you're solving LeetCode challenges or working on a startup prototype, personalized tutoring can take your Python skills to the next level.

Web Development Tutoring: Learn to Build the Web, Not Just Consume It

Today’s digital economy is built on the web—and web developers are in high demand across every industry. But with so many tools and frameworks, it’s easy to get overwhelmed. That’s where Web Development Tutoring comes in.

From front-end to back-end to full-stack, tutors on MentorForHire.com can guide you step-by-step:

Front-End Skills:

HTML, CSS, and JavaScript fundamentals

Responsive design using Flexbox and Grid

JavaScript frameworks like React, Angular, or Vue

Version control with Git and GitHub

Back-End Skills:

Node.js with Express or Java with Spring Boot

REST APIs and database integration (MySQL, MongoDB)

Authentication systems (OAuth, JWT)

DevOps basics: deploying apps with Heroku or AWS

You’ll work on actual projects like to-do lists, dashboards, or e-commerce stores—and get expert feedback every step of the way.

How MentorForHire Makes Learning Easier and Smarter

MentorForHire.com isn't just about hiring a tutor—it's about mentorship. The platform matches you with experienced developers who offer:

Flexible scheduling – Learn when it suits your life.

Customized roadmaps – No more cookie-cutter syllabi.

Real-world projects – Build apps that solve actual problems.

Code reviews & interview prep – Gain confidence before job applications.

Ongoing support – Whether it’s bugs, burnout, or breakthroughs.

This isn’t a YouTube tutorial or a lecture—it’s a partnership. Whether you're 16 or 60, learning to code becomes faster and more meaningful when you have someone guiding you in real time.

Who Is This For?

Students who want to stand out in their CS classes

Career changers entering tech from another field

Bootcamp grads who need more 1:1 help

Junior developers looking to climb the ladder

Entrepreneurs building their own software products

If you’ve got a goal and a laptop, MentorForHire.com has a mentor ready to help you reach it.

Final Thoughts: The Future Belongs to Lifelong Learners

The best investment you can make is in yourself. Whether you're learning Java, diving into Python, or building full-stack web apps, tutoring turns passive learning into active progress.

MentorForHire.com helps unlock your potential by giving you access to mentors who’ve been where you are—and know how to help you level up.

So why wait? Start your personalized tutoring journey today. Visit MentorForHire and connect with a mentor who can help you write your success story in code.

#Java Tutoring #Python Tutoring #Web Development Tutoring

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andrewbgould · 2 days ago

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Yes, I Got a Cloud Server for Free Forever Here’s How You Can Too.

Let me tell you a little secret: I'm running a cloud server right now—for zero dollars. No tricks, no expired trials, no surprise bills. Just forever free. And the best part? You can do it too.

This isn’t one of those “free for 12 months” offers that quietly auto-bills you after a year. This is 100% free forever, and I’ve been using it to host websites, run experiments, and even power a personal VPN.

Here's how I did it—and how you can get your own cloud server for free too.

🧠 First, Why Would You Even Want a Cloud Server? If you’re a dev, student, entrepreneur, or just someone who wants to mess around with tech, a cloud server is basically your Swiss Army knife. You can:

Host your own blog or portfolio

Deploy web apps

Run bots or automation scripts

Set up a secure VPN

Tinker with Docker, Node.js, Python, and other cool tools

Learn cloud infrastructure (and impress your next job interviewer)

But traditionally, cloud servers cost money. Not a lot—but still enough to be annoying if you’re bootstrapping.

🧨 The Hack: Free-Tier Cloud Servers (Yes, They’re Legit) Here’s the part most people don’t realize: some major cloud providers offer "always free" tiers. These aren’t trials. They’re permanent free resources designed to bring developers into their ecosystem.

Let me break down the best ones:

🟢 Oracle Cloud - The Real MVP What You Get (Always Free):

2 Arm-based virtual machines (VMs)

1 GB RAM each, up to 4 vCPUs

200 GB storage

10 TB/month of data transfer

👉 This is what I'm using. It’s not just a toy—this thing can run websites, apps, and even a Minecraft server (with some optimization). It’s shockingly good for something that costs nothing.

Pro Tip: Choose the Ampere A1 (Arm) VM when signing up. They're the magic machines that stay free forever.

🔵 Google Cloud Free Tier 1 f1-micro VM (in select regions)

30 GB HDD + 5 GB snapshot storage

1 GB outbound traffic

It’s more limited, but solid if you want to dip your toes into Google’s ecosystem. Great for small side projects or learning.

🟠 Amazon AWS Free Tier 750 hours/month of a t2.micro or t3.micro EC2 instance

5 GB S3 storage

Other bonuses like Lambda and DynamoDB

⚠️ This one’s only free for the first 12 months, so set a calendar reminder unless you want to wake up to a surprise bill.

Honorable Mentions (For Web Devs & Hobby Projects) Flyio – Run full-stack apps with generous free bandwidth

Render / Railway – Deploy static sites, APIs, and databases with ease

GitHub Student Pack – If you’re a student, you unlock a TON of free cloud goodies

⚠️ A Few Quick Warnings Before you go server-crazy:

Stick to free-tier specs (e.g. Oracle’s Ampere A1, Google’s f1-micro)

Watch bandwidth usage—10 TB sounds like a lot, until it isn’t

Avoid regions that aren’t free (yes, it matters where your VM is located)

Set up billing alerts or hard limits if the provider allows it

So… What Can You Actually Do With a Free Server? Here’s what I use mine for:

✅ Hosting my personal website (no ads, no downtime) ✅ Running a WireGuard VPN to stay safe on public Wi-Fi ✅ Testing code 24/7 without killing my laptop ✅ Hosting bots for Discord and Telegram ✅ Learning Linux, Docker, and server security

Basically, it’s my own little lab in the cloud—and I didn’t pay a dime for it.

Final Thoughts: Cloud Power in Your Pocket (For Free) In a world where subscriptions are everywhere and everything feels like a money grab, it's refreshing to find real value that doesn’t cost you anything. These cloud free tiers are hidden gems—quietly sitting there while most people assume you need a credit card and a corporate budget to get started.

So go ahead. Spin up your own free cloud server. Learn. Build. Break things. And have fun doing it—on someone else’s infrastructure.

🔗 Want to try it?

Oracle Cloud Free Tier

Google Cloud Free Tier

AWS Free Tier

#cloudcomputing #cloud servers

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ioweb3tech · 2 days ago

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SaaS Experts: Driving Innovation and Scalable Growth for Modern Businesses

In today’s digital-first economy, SaaS (Software as a Service) has emerged as the most efficient way for companies to deliver, manage, and scale software solutions. Whether it's streamlining operations, improving customer experience, or building a scalable product, SaaS experts are the architects behind the scenes, helping businesses transform ideas into powerful platforms.

If you’re looking to build a SaaS product that’s robust, scalable, and future-ready, collaborating with seasoned professionals can be your game-changer. SaaS experts not only bring technical knowledge but also strategic foresight that aligns your digital product with business goals.

Why SaaS is the Future of Software

SaaS applications have disrupted traditional software models. Unlike legacy systems that require on-premise installation and ongoing maintenance, SaaS solutions are cloud-based, accessible from anywhere, and updated in real-time.

From startups to large enterprises, the advantages are undeniable:

Lower upfront costs

Faster time-to-market

Scalability and flexibility

Integrated analytics and real-time insights

Subscription-based pricing models

However, to truly capitalize on these benefits, you need more than just developers—you need SaaS experts who understand product strategy, architecture, and long-term user engagement.

What Do SaaS Experts Really Do?

Many people assume SaaS experts are just experienced developers. But in reality, their scope of work spans across several critical functions:

1. Product Ideation & Market Fit

Before writing a single line of code, SaaS experts conduct deep market research, competitor analysis, and feasibility studies. This phase often overlaps with AI product development, where intelligent automation is integrated from day one to build smarter platforms.

2. System Architecture Design

A SaaS product’s success depends on how well it’s built. Experts define the architecture—choosing the right cloud services, scalability strategies, databases, and performance benchmarks. This ensures your product can support rapid growth without breaking under pressure.

3. UI/UX Strategy

SaaS platforms require intuitive and delightful user experiences. Experts focus on streamlining workflows, minimizing friction, and ensuring high adoption rates.

4. Custom Development & Engineering

This is where they get their hands dirty—coding, integrating APIs, managing security layers, and deploying your app. Whether you’re using Node.js, React, or any other stack, you need developers who are more than coders—they need to be problem solvers.

5. Continuous Deployment & DevOps

SaaS doesn’t stop at launch. Experts implement CI/CD pipelines, version control, and testing processes to ensure continuous improvements and bug-free releases.

SaaS Experts vs General Developers: What’s the Difference?

You might wonder: why not just hire developers and get started?

The difference lies in depth and direction. While developers execute tasks, SaaS experts bring product thinking, scalability strategy, and business alignment. They don’t just code; they build products that solve problems, generate revenue, and scale effectively.

They work cross-functionally with design, marketing, and product teams to ensure your SaaS business is not just built—but is built to grow.

Integrating AI into SaaS: The Smart Edge

With the explosion of AI product development, today’s SaaS platforms are evolving faster than ever. From chatbots and intelligent analytics to predictive recommendations and automation, AI is no longer a “nice-to-have” but a core feature in modern SaaS products.

SaaS experts with AI capabilities help:

Integrate machine learning models

Build smart customer experiences

Automate repetitive workflows

Enable predictive analytics for decision-making

This blend of AI + SaaS results in tools that don’t just serve but also think and adapt—driving exponential value for users.

Why Choose a Web3-Ready Development Partner?

The tech world is also witnessing a revolution with decentralized applications and blockchain-based systems. Many forward-looking SaaS products are exploring Web3 development models to offer greater transparency, ownership, and security.

A competent web3 development company can help you integrate smart contracts, NFTs, or decentralized identity features into your SaaS platform—especially if you’re targeting industries like finance, gaming, or digital identity.

What to Look for When You Hire SaaS Experts

Finding the right talent is crucial. Here’s what to consider:

Proven Track Record: Look for portfolios showcasing live SaaS products and real-world results.

Full-Stack Capabilities: Backend, frontend, cloud, and DevOps—your team should be end-to-end.

Scalability Mindset: Experts should architect with future growth in mind.

Agile Process: Ensure they follow agile methodologies with regular sprints, feedback, and iteration.

Strategic Thinking: Beyond coding, they must understand product-market fit and user behavior.

Final Thoughts

The SaaS world is growing more competitive by the day. To stay ahead, you need more than just tech—you need vision, strategy, and execution. That’s where SaaS experts make all the difference. They understand the complete journey—from ideation to scale—and help you build a product that’s not only functional but also profitable.

Whether you’re a startup founder validating an idea, or a CTO scaling your existing product, having the right expertise can save you years of trial and error.

And if you're looking to partner with a trusted team of SaaS experts, ioweb3.io is a great place to start.

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lostcenturionradiance · 2 days ago

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Inside SonicX: How We’re Empowering Web3 Innovators

SonicxSwap

The Future of Web3 Belongs to the Builders

What Sets SonicX Apart for Web3 Creators?

We’re not offering just another DeFi toolset. SonicX is an ecosystem — a living, evolving space where developers and creators are supported from day one.

Here’s how we make it possible:

1. Launch Without Limits

Got an idea? Turn it into a live token economy using our frictionless creator launch framework.

One-click token launches via Sonicx.fun

Bonding curve pricing models for fair fundraising

Tools to instantly build liquidity, community, and traction

This is not just for devs — even non-technical founders can launch a token and build an economy around it. We make Web3 creativity borderless.

2. Ready-to-Build Infrastructure

SonicX is built to support real use cases with speed, scale, and simplicity. Our infrastructure includes:

Pre-audited smart contract templates for instant use

SDKs, developer APIs, and ready RPC endpoints

Community-led repositories and grant-backed tools

We eliminate technical friction so that innovation becomes execution.

3. Real Builders. Real Use Cases.

From on-chain fantasy prediction games to micro-finance DeFi dApps, the SonicX ecosystem is already home to bold creators.

Examples include:

Utility tokens for gated content platforms

Staking-based NFTs for long-term community engagement

DeFi bots that plug into SonicX’s trading layer

Our ecosystem encourages real-world utility, not just hype.

4. Open Governance, Open Innovation

We’re creating a system where builders co-own the protocol. Through our governance model powered by the $SX token, creators can:

Propose platform upgrades

Vote on funding rounds for new tools

Shape the direction of SonicX from the inside

This is about decentralized ownership of innovation itself.

5. We Fund What You Build

Building something impactful? We back it with:

Creator Grants

Growth bounties

Early user airdrops

Visibility support across our community channels

SonicX isn’t just a place to deploy — it’s a place to grow with fuel.

Why We’re Doing This

SonicX is changing that by building a zero-friction launch zone for Web3 creators — powered by a scalable chain and community-first values.

Final Thoughts

Web3 isn’t about waiting for the next big thing. It’s about creating it.

If you’re a creator, builder, founder, or visionary — SonicxSwap is built for you. We’re not just enabling Web3 innovation. We’re setting it free.

👉 Ready to build with us? Join the movement at www.sonicxswap.com

#crypto

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tonymattny · 3 days ago

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Reimagine AI Success With Custom LLM Solutions From ideyaLabs

Elevate Brand Communication with Powerful Language Models

Businesses crave seamless communication. ideyaLabs engineers Large Language Model (LLM) technologies for brands. Our solutions ensure precision, speed, and relevancy in your messaging. Rely on our expertise to future-proof your operations and drive customer satisfaction.

LLM Expertise That Sets ideyaLabs Apart

Leading the way as an LLM Development company, ideyaLabs blends deep technical knowledge with creative strategies. Our team deploys state-of-the-art machine learning infrastructure, ensuring scalable performance. ideyaLabs understands language, context, and business goals to ensure accurate and rich outputs for every use case.

Tailored Models for Maximum Business Impact

Every organization has unique needs. ideyaLabs crafts tailored LLM solutions for dynamic industries. Our development process assesses your requirements, existing systems, and audience. Get large language models that match your tone, terminology, and objectives. Maximize your ROI with context-aware language technology.

Seamless Integration With Workflows

LLM solutions from ideyaLabs align with your daily operations. Integrate custom models into your content pipelines, chatbots, and customer support. Enjoy hassle-free deployment with integration-ready APIs. ideyaLabs supports onboarding, training, and post-launch tuning to optimize LLM performance.

Advanced Research For Reliable Results

ideyaLabs pioneers advanced LLM research. Our knowledge spans NLP, neural networks, prompt design, and ethical AI use. Unlike generic services, we address biases, data privacy, and performance bottlenecks. ideyaLabs ensures each LLM solution meets your business standards and compliance requirements.

Faster Decision Making With Automated Insights

Business intelligence drives growth. ideyaLabs empowers teams with LLM-powered analytics and reporting. Process data, generate summaries, and surface key trends in seconds. LLMs automate routine analysis, reducing manual workload and improving decision speed.

Enable Superior Customer Experiences

Personalization redefines user engagement. LLM solutions from ideyaLabs generate human-like responses for conversational platforms, email, and support tickets. Your customers receive accurate, context-sensitive answers. Elevate your support standards and boost satisfaction rates.

Scalable Language Solutions For Any Industry

Versatility defines ideyaLabs as an LLM Development company. We serve healthcare, finance, e-commerce, education, and more. Each sector benefits from industry-specific LLM customization. Enhance regulatory documentation, automate compliance checks, and streamline professional communications.

Security And Trust At The Core

Confidentiality drives modern business. ideyaLabs secures your data throughout the LLM lifecycle. Benefit from robust encryption, user access management, and compliance with international standards. Your sensitive information remains protected with our tailored language solutions.

Agile Development Cycle Ensures Faster Launches

Accelerate project delivery with ideyaLabs. Our streamlined process covers consultation, model selection, training, testing, and deployment. Continuous feedback ensures alignment with your vision. ideyaLabs adapts models as your needs evolve, keeping your business ahead of the curve.

Dedicated Support And Continuous Improvement

ideyaLabs partners with clients long after the initial deployment. Receive updates, feature enhancements, and proactive monitoring. Our experts address performance optimization and user feedback. Maintain top-tier LLM capabilities year-round.

Why Choose ideyaLabs As Your LLM Development Company

Partner with ideyaLabs for true differentiation in the AI landscape. We commit to quality, transparency, and results. Our solutions adapt as language and technology evolve. Companies around the globe count on us for efficient, robust, and ethical language models.

Experience The Future Of Communication With ideyaLabs

LLM technology defines the future of business communication. ideyaLabs delivers bespoke LLM development and deployment at scale. Engage customers, optimize workflows, and secure sustainable growth with our custom language model solutions. Connect with ideyaLabs and embrace innovation with industry-leading AI expertise.

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sphinxshreya · 3 days ago

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Top React Native App Development Companies to Work With in 2025

In today’s competitive digital world, businesses are constantly seeking ways to build fast, scalable, and cost-effective mobile apps. One solution that's leading the way is React Native app development. Known for its ability to create high-performing applications for both Android and iOS platforms using a single codebase, it has become the go-to framework for startups and enterprises alike.

The popularity of React Native app development stems from its flexible architecture, community support, and the ease it provides for integrating native modules. Whether you're launching a simple MVP or a feature-rich enterprise app, React Native simplifies the development process while ensuring a smooth user experience.

When it comes to Hybrid vs Native Apps, the debate continues—but React Native cleverly combines the best of both worlds. It allows developers to write once and deploy across platforms, reducing time-to-market and development costs significantly.

Moreover, if you’ve ever wondered, Which Mobile App Framework Suits Your Business – Flutter or React Native?, it's important to analyze your business goals, app complexity, and budget. While Flutter is growing in popularity, React Native offers better JavaScript support, larger community resources, and broader plugin availability.

A standout benefit of React Native app development is that it enables Cross platform development. This means fewer resources, faster testing, and easier maintenance—all while delivering native-like performance.

The Power of React Native in Modern App Development

React Native, backed by Facebook, uses JavaScript and React to build natively rendered apps. With features like hot-reloading, third-party plugin integration, and reusable components, it has become a favorite among developers and product teams.

An interesting trend is the rise of Detailed Tutorial on React Server Side, which showcases how server-side rendering (SSR) with React Native can improve load times, SEO performance, and user experience—especially for mobile web apps and hybrid solutions. Incorporating server-side rendering into your React Native app development process not only boosts performance but also helps in making applications more discoverable through search engines. Another key point to consider is scalability. React Native’s modular architecture and easy integration with native APIs make it ideal for businesses aiming for long-term growth and app flexibility.

Book an Appointment

Want to explore how React Native fits into your mobile strategy? Book an appointment with our React Native consultants today for a free demo and project roadmap.

Choosing the Right React Native App Development Partner

Choosing a trusted development partner can make or break your mobile strategy. The market is filled with numerous agencies and freelancers, but only a few offer proven expertise, full-stack capabilities, and tailored solutions.

That’s why we’ve curated a list of the Top 10 React Native App Development Companies that you can confidently collaborate with in 2025:

Toptal – Known for its elite pool of React Native developers.

MindInventory – Offers both React Native and backend services for full-stack development.

Appinventiv – Provides customized mobile solutions using React Native.

Netguru – Delivers quality UI/UX with React Native speed.

Simform – Offers agile development and enterprise-grade React Native apps.

GeekyAnts – Actively contributes to the React Native ecosystem.

Zco Corporation – Great for startups looking for cost-effective solutions.

WillowTree – Enterprise-level development with a design-first approach.

Fueled – Popular among funded startups.

Hidden Brains – Known for global delivery and scalable app solutions.

Partnering with these companies ensures your React Native app development process is seamless, strategic, and future-ready.

React Native vs Other Frameworks: A Practical Outlook

Let’s revisit the big question: Which Mobile App Framework Suits Your Business – Flutter or React Native?

While Flutter has its advantages like custom widgets and Dart-based programming, React Native still leads in terms of maturity, JavaScript ecosystem, and ready-to-use plugins. It's particularly ideal for businesses that already have web apps built with React.js.

React Native app development also offers easier integration with existing systems, especially if you’re planning a mobile-first transition from a traditional web-based system.

Additionally, businesses focused on scalability often leverage Cross platform development using React Native to maintain code consistency across devices and platforms. This not only accelerates deployment but also reduces ongoing maintenance overheads.

What’s New in React Native for 2025?

With every update, React Native evolves to offer more stability, performance, and developer tools. In 2025, the focus will shift further towards better support for Detailed Tutorial on React Server Side integration, accessibility improvements, and enhanced debugging tools.

Moreover, companies are investing in hybrid strategies due to growing confidence in the performance capabilities of React Native. The Hybrid vs Native Apps conversation is fading as businesses realize that hybrid frameworks like React Native can now deliver native-like speed, look, and feel. Still, if you're unsure, a good development company will help you decide the best fit based on your business requirements.

Final Thoughts

Whether you’re a startup or an enterprise, embracing React Native app development can significantly streamline your mobile strategy. It’s cost-effective, developer-friendly, and ideal for Cross platform development.

From enhancing your app’s performance using Detailed Tutorial on React Server Side to understanding the debate between Hybrid vs Native Apps, React Native continues to prove itself as a forward-looking solution. And when asking Which Mobile App Framework Suits Your Business – Flutter or React Native?, the answer increasingly favors React Native due to its maturity and community-driven growth.

When you're ready to transform your mobile app vision into reality, choosing from the Top 10 React Native App Development Companies can ensure your project is in expert hands.

So what are you waiting for? Your next big mobile success story begins with React Native app development.

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