#database tool

[cuties-in-codices]

Where do you find these manuscripts? Is it like a website or do you find it randomly??

hey, thanks for the curiosity! lenghty answer below the cut :)

1)

medieval manuscripts are typically owned by libraries and showcased on the library's websites. so one thing i do is i randomly browse those digitized manuscript collections (like the collections of the bavarian state library or the bodleian libraries, to name just two), which everybody can do for free without any special access. some digital collections provide more useful tools than others (like search functions, filters, annotations on each manuscript). if they don't, the process of wading through numerous non-illustrated manuscripts before i find an illustrated one at all can be quite tedious.

2)

there are databases which help to navigate the vast sea of manuscripts. the one i couldn't live without personally use the most is called KdIH (Katalog der deutschsprachigen illustrierten Handschriften des Mittelalters). it's a project which aims to list all illustrated medieval manuscripts written in german dialects. the KdIH provides descriptions of the contents of each manuscript (with a focus on the illustrations), and if there's a digital reproduction of a manuscript available anywhere, the KdIH usually links to it. the KdIH is an invaluable tool for me because of its focus on illustrated manuscripts, because of the informations it provides for each manuscript, and because of its useful search function (once you've gotten over the initial confusion of how to navigate the website). the downside is that it includes only german manuscripts, which is one of the main reasons for the over-representation of german manuscripts on my blog (sorry about that).

3)

another important database for german manuscripts in general (i.e. not just illustrated ones) is the handschriftencensus, which catalogues information regarding the entirety of german language manuscripts of the middle ages, and also links to the digital reproductions of each manuscript.

4)

then there are simply considerable snowball effects. if you do even just superficial research on any medieval topic at all (say, if you open the wikipedia article on alchemy), you will inevitably stumble upon mentions of specific illustrated manuscripts. the next step is to simply search for a digital copy of the manuscript in question (this part can sometimes be easier said than done, especially when you're coming from wikipedia). one thing to keep in mind is that a manuscript illustration seldom comes alone - so every hint to any illustration at all is a greatly valuable one (if you do what i do lol). there's always gonna be something interesting in any given illustrated manuscript. (sidenote: one very effective 'cheat code' would be to simply go through all manuscripts that other online hobbyist archivers of manuscript illustrations have gone through before - like @discardingimages on tumblr - but some kind of 'professional pride' detains me from doing so. that's just a kind of stubbornness though. like, i want to find my material more or less on my own, not just the images but also the manuscripts, and i apply arbitrary rules to my search as to what exactly that means.)

5)

whatever tool or strategy i use to find specific illustrated manuscripts-- in the end, one unavoidable step is to actually manually skim through the (digitized) manuscript. i usually have at least a quick look at every single illustrated page, and i download or screenshot everything that is interesting to me. this process can take up to an hour per manuscript.

---

in conclusion, i'd say that finding cool illuminated manuscripts is much simpler than i would have thought before i started this blog. there are so many of them out there and they're basically just 'hidden in plain side', it's really astounding. finding the manuscripts doesn't require special skills, just some basic experience with/knowledge of the tools available. the reason i'm able to post interesting images almost daily is just that i spend a lot of time doing all of this, going through manuscripts, curating this blog, etc. i find a lot of comfort in it, i learn a lot along the way, and i immensely enjoy people's engagement with my posts. so that's that :)

[where-the-water-flows]

If you know how to do it you can use someone’s phone number to find their full legal name and home address. It’s just a bit of Google and knowing what websites stores this kind of info. Saw your tags asking how a phone number could verify someone’s age

So, I appreciate you dropping into my askbox to pass that info on - genuinely, it's kind of you - and I can see how my tags came across, but what I actually meant wasn't 'how can you find info on someone just with their phone number??' -- I actually do exactly that kind of thing in my day job pretty regularly, and I have to conform to a lot of real strict ethic constraints that uh, bluntly, random discord moderators...do not.

What I was actually getting at is the fact that, assuming the hypothetical server is just using a phone number as age verification (and doing data broker/google search on that), how in the hell is it controlling for someone doing what people under the arbitrary age limit du jour have been doing since we started implementing this sort of check, ie, lying like rugs and supplying info for someone in their family/social circle instead who is older than [whatever age].

like. sure. maybe you get a phone number for age verification. awesome. plug that into your data broker/google/etc of choice, run your searches, and ok, it belongs to jane smith, 38 years old, accountant who lives in ballarat, she's totally fine to join the 18+ server! come on in jane, the smut is plentiful and the doves are extremely dead. Jane smith has a kid. jane smith's kid is 15. jane smith's kid isn't allowed in the server, because it's an 18+ only server.

jane smith's kid almost certainly knows their mum's mobile number.

how the hell can Hypothetical Server Mod control for 15 year old jane smith's kid putting in jane smith's mobile number instead of their own? and also, separately, how the hell is HSM dealing with the many -- many many many -- different privacy laws around the globe?

not just in terms of handling that sort of information on people (and also requesting it in the first place!), but also just. some countries you can get so much fucking info on someone! (the US. I'm talking about the US.)

some you can't. because privacy laws, because the info isn't publicly accessible, because it's not online and is only in hard copy at the local government office, because it's collated but only in a nonenglish language, because it's geolocked-- etc.

also, like. even if the hypothetical phone number brings up someone in the US, and also your hypothetical mod team has decided, y'know, fuck privacy laws, security of information and data ethics can take a long walk off a short pier, we're keeping this server 18+ or dying trying!

data brokers aren't...actually consistently what you would call...super accurate, or like, accurate at all. if you have a unique name, yeah, sure, you're probably kinda fucked! (assuming you're in, again, somewhere the data brokers focus) but like. if you're named something a little more common - say, james smith, or maria sanchez in the US- uh. well. there sure are a lot of people you could be, and some of them - most of them! - are over 18.

and ok, sure, a phone number is (usually) only associated with one person, but. you can get a lot of false positives, false negatives, and straight up 'we don't know 🤪', the latter of which is sometimes hidden by the databrokers going 'our best guess is that this person is: An Age!! somewhere between 0 and 200 years old. 😇'

again, I use this stuff for work, I can tell you exactly how inaccurate it can get as soon as you throw something like 'not based in the US/UK' or 'uses a nickname/multiple name formats' or 'isn't super online' or 'older than 65 and not turbo wealthy' at some of these - I've had more than one confidently tell me that [my wallet name] is an accountant based in darwin who makes horror films in alice springs on the side, and also, is 26, and had 2-3 kids with her husband Lauchlan.

literally none of these facts are true. like. even vaguely.

and that can of worms doesn't even get into if someone has requested to be removed from data broker databases and/or takes online privacy Very Seriously and/or is just fundamentally ungoogleable, which is...more common than you'd think. less common than you'd like, but more common than you think, even before google started enshittifying itself out of existence.

which is why when you're trying to do things like prove your identity to uhhh goverments, banks, etc, they want multiple forms of ID, one of which is usually a photo ID, none of which anyone should be sending to a random on discord, or, frankly, asking for from a random on discord, both bc my god privacy and security risk but also like. handling that information can actually have legal requirements!

anyway. extremely long ramble on the failings of databrokers over, I appreciate you reaching out to help explain and it was very kind of you anon, sorry that I have. uhhhh kind of a lot of professional feelings about data privacy and basic social engineering, by which I mean saying 'no I'm totally 18 pinkie swear' in the grand tradition of teens wanting to get into age locked areas ever, your forebears lied on LJ so you could lie on discord.

[just-a-local-dreamer]

two of my favourite Notion homepages

(made by me?)

Fun fact: both are from my writing templates. You can check out the first one here and the second here!

[nyastyaraspurrtina]

WHY WOULD YOU BE ADVOCATING FOR USING GENERATIVE AI IN LIBRARY SCIENCES I AM GOING TO HIRE THIRTY SEVEN RACCOONS TO STAND OUTSIDE YOUR HOUSE AT NIGHT AND EAT YOUR GARBAGE

[mfcl3780cdw]

i have just as much webdev experience as i have IT experience but that world feels so much more alien sometimes.

average reddit post about web development: "yeah to build my website i just use [lists 15 different frameworks and tools that cost hundreds of dollars per license]"

every team i've worked with:

[necro-hamster]

ppl defending ai art by completely ignoring the genuine major issues that people have with it and pretending like ppl r just mad because they're Art Elitists and think that art should only be made through Suffering instead of being easy are some of the most embarrassing ppl tumblr has been recommending to me lately

[yoshistory]

I wanna make more sense of Petscop just from like. my brain and not looking things up and trying to see what I can form. But I do think it's a really obtuse reading of it to assert that Paul and Care and "Pall" are not the same person. But I'm trying to entertain the thought just to look at it from another angle

[smallerthanzer0]

(M:I Dead Reckoning spoilers)

OH

i briefly forgot that cyber crime exists and thought the movie was telling us that Benji straight up killed a man before joining the IMF

[latest-info]

How to Access Exclusive Research Archives Online

In the digital age, exclusive research archives have become invaluable resources for academics, professionals, and curious minds alike.

In the digital age, exclusive research archives have become invaluable resources for academics, professionals, and curious minds alike. These archives house a wealth of information, often containing rare and comprehensive collections that are not readily available to the general public. Accessing these archives can seem daunting, but with the right approach, it is entirely feasible. Here’s a…

[coder23-data]

The Data Migration Odyssey: A Journey Across Platforms

As a database engineer, I thought I'd seen it all—until our company decided to migrate our entire database system to a new platform. What followed was an epic adventure filled with unexpected challenges, learning experiences, and a dash of heroism.

It all started on a typical Monday morning when my boss, the same stern woman with a flair for the dramatic, called me into her office. "Rookie," she began (despite my years of experience, the nickname had stuck), "we're moving to a new database platform. I need you to lead the migration."

I blinked. Migrating a database wasn't just about copying data from one place to another; it was like moving an entire city across the ocean. But I was ready for the challenge.

Phase 1: Planning the Expedition

First, I gathered my team and we started planning. We needed to understand the differences between the old and new systems, identify potential pitfalls, and develop a detailed migration strategy. It was like preparing for an expedition into uncharted territory.

We started by conducting a thorough audit of our existing database. This involved cataloging all tables, relationships, stored procedures, and triggers. We also reviewed performance metrics to identify any existing bottlenecks that could be addressed during the migration.

Phase 2: Mapping the Terrain

Next, we designed the new database design schema using schema builder online from dynobird. This was more than a simple translation; we took the opportunity to optimize our data structures and improve performance. It was like drafting a new map for our city, making sure every street and building was perfectly placed.

For example, our old database had a massive "orders" table that was a frequent source of slow queries. In the new schema, we split this table into more manageable segments, each optimized for specific types of queries.

Phase 3: The Great Migration

With our map in hand, it was time to start the migration. We wrote scripts to transfer data in batches, ensuring that we could monitor progress and handle any issues that arose. This step felt like loading up our ships and setting sail.

Of course, no epic journey is without its storms. We encountered data inconsistencies, unexpected compatibility issues, and performance hiccups. One particularly memorable moment was when we discovered a legacy system that had been quietly duplicating records for years. Fixing that felt like battling a sea monster, but we prevailed.

Phase 4: Settling the New Land

Once the data was successfully transferred, we focused on testing. We ran extensive queries, stress tests, and performance benchmarks to ensure everything was running smoothly. This was our version of exploring the new land and making sure it was fit for habitation.

We also trained our users on the new system, helping them adapt to the changes and take full advantage of the new features. Seeing their excitement and relief was like watching settlers build their new homes.

Phase 5: Celebrating the Journey

After weeks of hard work, the migration was complete. The new database was faster, more reliable, and easier to maintain. My boss, who had been closely following our progress, finally cracked a smile. "Excellent job, rookie," she said. "You've done it again."

To celebrate, she took the team out for a well-deserved dinner. As we clinked our glasses, I felt a deep sense of accomplishment. We had navigated a complex migration, overcome countless challenges, and emerged victorious.

Lessons Learned

Looking back, I realized that successful data migration requires careful planning, a deep understanding of both the old and new systems, and a willingness to tackle unexpected challenges head-on. It's a journey that tests your skills and resilience, but the rewards are well worth it.

So, if you ever find yourself leading a database migration, remember: plan meticulously, adapt to the challenges, and trust in your team's expertise. And don't forget to celebrate your successes along the way. You've earned it!

[aceteling]

okay, what am i doing here

[networksupported]

sinking my head into my hands <- incorrect ai opinions blazed on dash

[vaultsixtynine]

happy moon landing day AND happy day i finally get my prototype tool out of dev finally.

[windowsclick]

What Tools Find Amazon Seller Phone Numbers?

If you're trying to reach Amazon sellers — whether for business partnerships, marketing, or lead generation — you might be wondering: How can I find their phone numbers?

Finding contact information for Amazon sellers isn’t always straightforward. Many sellers protect their personal details for privacy reasons. However, some tools can help you locate phone numbers, email addresses, and other useful information to connect with them directly.

In this article, we’ll break down what tools can help you find Amazon seller phone numbers, how they work, and what you should know before reaching out.

Let’s dive in.

Why Find Amazon Seller Phone Numbers?

Before we get into the tools, let’s quickly cover why someone might want this information.

Lead generation: If you offer services like software, logistics, advertising, or consulting, Amazon sellers can be valuable clients.

Product sourcing: Suppliers and manufacturers might want to pitch products to growing sellers.

Partnership opportunities: Companies offering joint ventures, affiliate programs, or cross-promotions may want to reach Amazon businesses.

Recruiting: Some firms look for successful Amazon sellers to join teams or partner on bigger projects.

Whatever the reason, having direct contact information — like a phone number — helps you move faster than just sending an email or messaging through Amazon's system.

Is It Legal to Find and Use Amazon Seller Contact Information?

Good question. Yes, it is generally legal to collect publicly available contact details. However, how you use that information matters.

Always follow these rules:

Don't spam. Make sure your outreach is relevant and respectful.

Follow GDPR and other privacy regulations if you're contacting sellers in Europe or regulated regions.

Offer value first — avoid being pushy or salesy.

Respecting privacy and providing clear value is the best way to build real connections with sellers.

Top Tools to Find Amazon Seller Phone Numbers

Now, let’s talk about the tools you can actually use.

1. SellerContacts

SellerContacts is one of the most powerful tools for finding Amazon seller information — including phone numbers.

What it offers:

Access to over 200,000+ verified Amazon sellers.

Detailed seller profiles with phone numbers, emails, websites, social links, and more.

Advanced filtering by product category, sales volume, location, and more.

Regular updates to keep data fresh and accurate.

Why use SellerContacts? If you’re serious about reaching Amazon sellers directly, this platform gives you everything you need in one place. Instead of scraping manually or using unreliable databases, you get verified data ready to use.

🔗 Check out SellerContacts here

2. JungleScout (Supplier Database)

While JungleScout is mostly known for product research, its Supplier Database can help you find manufacturers and sellers — and sometimes leads to contact info.

What it offers:

Look up top Amazon sellers by product type.

Find manufacturers and sellers connected to specific ASINs.

Some listings include business phone numbers or company contact details.

Why it helps: It’s not as direct as SellerContacts, but if you're looking for bigger Amazon businesses (especially brands), you might find a phone number attached to the company.

3. Apollo.io

Apollo.io is a B2B contact database that focuses on professionals across all industries — including e-commerce.

What it offers:

A massive database of business emails, phone numbers, and LinkedIn profiles.

Advanced filters to search by industry (like "E-commerce" or "Amazon sellers").

Why use it: While not Amazon-specific, you can still find seller owners, brand managers, or executives involved in Amazon businesses. Great for reaching larger sellers or agencies managing multiple brands.

4. LinkedIn + Hunter.io

Sometimes the best method is a combination.

LinkedIn helps you find Amazon sellers, brand owners, and FBA entrepreneurs.

Hunter.io allows you to find associated emails and sometimes business phone numbers linked to a domain.

How it works:

Search on LinkedIn using terms like "Amazon FBA seller" or "Private label brand owner."

Find their website (often listed in their LinkedIn profile).

Use Hunter.io to extract available contact information from that domain.

Why use this method: It’s a bit manual but often results in higher quality connections — especially for medium to large sellers.

5. ZoomInfo

ZoomInfo is a premium business contact database.

What it offers:

Verified business phone numbers, emails, and company data.

Search by business size, industry, revenue, and more.

Is it good for Amazon sellers? Yes, if you’re targeting larger Amazon businesses, especially those that run private label brands or operate as full companies.

However, it’s pricey — best for serious users with bigger budgets.

Bonus Tip: Scraping Tools (Use Carefully)

There are browser extensions and software that can scrape public Amazon listings and pull whatever contact info is available.

Examples:

DataScraper Chrome Extension

Octoparse (for structured data scraping)

⚠️ Warning:

Most Amazon sellers don’t list their phone numbers publicly on Amazon.

Amazon’s Terms of Service forbid scraping user data, so you could risk account issues if you're not careful.

That's why using legitimate databases like SellerContacts is usually a safer and smarter path.

Things to Keep in Mind Before Reaching Out

Once you find seller phone numbers, what’s next?

Here are a few quick tips:

Be respectful: Sellers are busy running businesses. Get to the point quickly.

Personalize your outreach: Mention their product category, brand name, or something specific.

Offer value: Show them how your product, service, or opportunity can make their life easier or more profitable.

Don’t over-call: One well-placed call or voicemail is better than 10 missed calls.

Always aim to build relationships, not just make sales.

Final Thoughts

Finding Amazon seller phone numbers used to be difficult — but today, with the right tools, it’s easier than ever. Whether you're using SellerContacts, Apollo.io, LinkedIn plus Hunter.io, or other methods, the key is to reach out thoughtfully and offer real value.

Sellers are entrepreneurs just like you. Treat them with respect, and you might build lasting, profitable partnerships.

[milk-lover]

LA County has a Tool Lending Library as well. I haven’t used it yet but they have sewing and clothes repair tools, and a cricut machine!

The Sacramento Public Library started a “Library of Things” last year, allowing patrons to check out, among other things, sewing machines and other items that patrons may find useful, but don’t need to own long-term.

[jcmarchi]

Unframe Emerges from Stealth with $50M to Transform Enterprise AI Deployment

New Post has been published on https://thedigitalinsider.com/unframe-emerges-from-stealth-with-50m-to-transform-enterprise-ai-deployment/

Unframe Emerges from Stealth with $50M to Transform Enterprise AI Deployment

Unframe, a next-generation enterprise AI platform, has officially emerged from stealth with a $50 million funding round led by Bessemer Venture Partners, alongside TLV Partners, Craft Ventures, Third Point Ventures, SentinelOne Ventures, and Cerca Partners. The funding marks a significant milestone for Unframe as it accelerates global expansion, fuels R&D, and scales delivery of its turnkey AI solutions that are already gaining traction with leading enterprises around the world.

Unframe is redefining how large organizations implement artificial intelligence by eliminating the usual friction—long development cycles, security bottlenecks, and the need for in-house AI expertise. Its platform enables enterprises to go from concept to fully deployed, custom AI solution in hours, not months. Unlike generic AI tools or narrowly focused point solutions, Unframe is built to adapt to any enterprise use case across any system or department.

Instant AI Solutions Without the Overhead

At the heart of Unframe’s platform is what it calls the Blueprint Approach, a methodology that provides the necessary context to large language models (LLMs) to deliver hyper-relevant, domain-specific outcomes. This means enterprises don’t need to train or fine-tune models, which is traditionally one of the most resource-intensive parts of deploying AI. Unframe is also LLM-agnostic, allowing customers to use or switch between public and private models without being locked into a single ecosystem.

From parsing chaotic data across legacy systems to analyzing structured and unstructured data with precision, Unframe’s AI agents function like domain experts that can integrate with any system, automate complex workflows, and offer actionable insights—all using natural language inputs.

A New Model for Enterprise AI: Secure, Fast, and Flexible

Enterprise adoption of AI has often been hindered by concerns over security, compliance, and implementation overhead. Unframe is turning this challenge into a competitive advantage. The platform allows for full integration with SaaS tools, APIs, databases, and proprietary file systems—while ensuring that customer data never leaves their secure perimeter unless explicitly allowed. Flexible deployment options include on-premise and public cloud, providing organizations with maximum control over data handling and regulatory compliance.

Unframe also introduces a radical shift in how AI services are priced and delivered. The company operates on an outcome-based pricing model: customers only pay once a solution is deployed and delivering value. This removes the risk typically associated with enterprise software procurement and accelerates time-to-value.

Rapid Traction and Real-World Impact

Despite only recently emerging from stealth, Unframe is already serving dozens of Fortune 500 clients and has achieved millions in annual recurring revenue (ARR). Its early success underscores a growing enterprise need for more agile and effective AI solutions.

“Unframe’s unmatched accuracy, speed, and quality in processing structured and unstructured data have transformed our operations,” said the CIO of a global investment bank.

“At Cushman & Wakefield, our AI+ strategy is focused on bringing fast-paced and innovative solutions to unlock critical insights, and we are aggressively pushing forward with Unframe,” added Salumeh Companieh, Chief Digital & Information Officer.

“Thanks to Unframe, we brought our AI use case to life in just two weeks—something our team had been struggling with for nine months,” said a VP of Innovation at a Fortune 100 insurance company.

A Seasoned Team with a Proven Track Record

Unframe is led by CEO and co-founder Shay Levi, who previously co-founded Noname Security, scaling it to $40M ARR and a $500M acquisition by Akamai. He’s joined by COO Larissa Schneider and VP of R&D Adi Azarya, both veterans in scaling enterprise software through IPOs, M&A, and international expansion. The leadership team’s deep expertise in cybersecurity, product development, and operational scaling is foundational to Unframe’s rapid growth and enterprise-grade offering.

“Unframe is flipping enterprise AI on its head by quickly providing customized software based on an enterprise’s exact needs,” said Amit Karp, Partner at Bessemer Venture Partners. “I have the utmost confidence in Shay and the team to redefine how software is built and delivered to the enterprise world.”

Why It Matters

In an environment where AI adoption is imperative but often complex, Unframe offers a bold alternative. By removing technical hurdles, compliance friction, and vendor lock-in, Unframe empowers enterprises to move faster, act smarter, and unlock the full potential of their data—securely and on their own terms.

With a unified platform that supports unlimited integrations, real-time collaboration, and autonomous task execution, Unframe is positioning itself as the central nervous system for enterprise AI.

This funding round not only affirms market confidence in Unframe’s mission but signals a broader shift in enterprise expectations: from slow, one-size-fits-all solutions to agile, secure, and completely customizable AI that delivers value from day one.