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if-whats-new · 5 months ago

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What's New In IF? Issue 2 (2025)

By Bex, Dion, Briar and Peter

Now Available!

Itch.io - Keep Reading below

If you read the zine, consider liking the post: it helps us see how many people see it! And sharing is caring! <3

~ EDITORIAL ~

It’s time for a revival!

As you might have noticed, our Column section has been dead for a while. We feel like it’s time to do something about that!

Want to write 1-2 pages about a neat topic, or deep-dive into a game and review it in details? Share personal experiences or get all academic?

Send us a message and we will be happy to feature it in our future Issues!

There’s power in numbers!

Are you an IF fan and would like a way to give back to the community? We’re once again looking for new members of our Team!

Do you enjoy keeping up with updates and finding new gems? Maybe you even enjoy working with Google Sheets?

Then our Tracker of News position is made just for you!

BEX, DION, BRIAR AND PETER

~ ANNOUNCEMENTS ~

Most importantly:

WNiIF? is switching to a bi-weekly schedule!

Keeping up with news and releasing a new Issue every week is exhausting. We have decided to change it up a bit, hopefully preventing a possible burnout. We also hope that this will give us more time to make every Issue a bit better.

We thank you for your understanding.

What else?

Our X/Twitter account is no longer active. Please check out our other social media to keep an eye on releases and news.

We plan on releasing a special What’s 2024 in IF? Issue summing up all Issues that came out last year. This will include New Releases, Event Highlights, Columns, Game Highlights and more, making it easier for new readers to check out the Zine. The date of release is not set yet, but hopefully soon!

More exciting stuff is to be unveiled in the upcoming Issues!

~ EVENT SPOTLIGHT : Queer Vampire Game Jam 2025 ~

🦇 🥀 🕯 🪦 🩸

Queer Vampire Game Jam is a month-long interactive fiction game jam hosted by kit, nyehilism, that will run from January 10 - February 20th, 2025. The goal of this jam is to create more interactive fiction games about queer vampires, focusing both on queer relationships and queer experiences as told through a vampiric narrative.

Last year’s edition had over 50 amazing submissions. Give them a look too!

~ ENDED ~

The Queer Winter Game Jam is in full swing. Those interested can submit their work until January 16th 2025.

~ VOTING ~

Feeling nostalgic about the golden age of text adventures? Relive those days by participating in PunyComp 2024!

IF Short Games Showcase 2024 is a great way to shine some new light on projects made in the past year (Jan 1, 2024 to Dec 31, 2024). You now have until January 25th 2025 to vote.

~ ONGOING (SUBMITTING) ~

Media depicting healthy examples of polyamory isn’t that common. The PolyJamorous 2024 is trying to break the status-quo!

ShuffleComp is a musical interactive fiction competition where you make games based on songs, which are submitted by other entrants. Creators have until January 20th 2025 to upload their works.

Once upon a time, a game jam was held to create stories around the theme of fairy tales… and that game jam is the Once Upon A Time VN Jam. It’s running from October 1st to January 31st.

Concours de Fiction Interactive Francophone 2025 is for all French-speaking enthusiasts. Submissions are accepted March 3rd 2025.

The Black Visual Novel Jam is all about working with creative professional developers who work in visual novels to bring more Black stories to life. The goal is to create a space where Black creators can show their unique storytelling through visual novels.

SeedComp! is a 2-round interactive fiction game jam, focusing on creativity and the growth of ideas and the Sprouting Round has just started! Check out the Planting round for inspiration.

BL stands for Boys' Love, a genre that focuses on romantic and emotional relationships between male characters. The Ultimate BL Visual Novel Game Jam is all about that!

Are you a fan of Vampires? Then lucky for you, because the Queer Vampire Game Jam is back!

Sealed With A Kiss Jam 2025 is a fantastical romance jam for all VN lovers!

The eighth annual Ace Jam is a game jam about creating games with asexual spectrum characters.

~ NEW RELEASE ~

Joyride To Hell (Ren’Py) After weeks of not hearing from your girlfriend she called you panicked, wanting to meet up with you. You want nothing more to do with her. But as they say, forgiveness is a virtue.

The Shadow Over Cyberspace (Ren’Py) From the same creators of Arcade Spirits. Time is running out, barter with gods, embrace the deathless aeons, or go offline permanently.

Full moon. Cold night. Dark shadow. Warm gun. The Beast of Glenkildove has stalked Ireland for centuries. Now, you must hunt it in Hunter: The Reckoning — The Beast of Glenkildove (CScript).

In Five Candles in the Meadow (Twine) even in the far flung future, penpals still exist. With a sea of stars between them, two young adults keep correspondence as best they can, with lone data relays acting as their heavenly messengers. @windsoflimbo

As always, don't forget to check out the submitted entries to the events mentioned in the previous pages. They deserve some love too!

~ NEW RELEASE (WIP) ~

After Mina Murray is reunited with her childhood friends Jonathan and Lucy Harker, they are all invited on a cruise to Transylvania with a mysterious man named Count Dracula. - Syndromedia's Dracula (Ren’Py)

Rite of Decay (Ren’Py) or, Sense in Self; The testimony of one Nastya V. Yarocz, Rot Physician, on the peculiar happenings at Pavia Manor following the death of honoured Guest Lord Kallistos of Arkhé. And on the even more curious romances she has forged therein.

House of Prestidigitation (CScript) is a school of magic game, a chance for you to pursue a specialty in the magical arts while competing in extra-curricular events, investigating clandestine clubs, and preventing a disastrous curse from carrying away the House before the end of term! You can also explore the strange history of the House itself, or turn your attention towards more romantic endeavours.

What will you do now that you find yourself in the captain’s chair of a starship tasked with exploration and diplomacy? Forge your name in the history of the Astral Alliance as a hero… or a traitor in Captain’s Log - Space Adventure (CScript).

In Time Fall (CScript) — Time does not wait for anyone, even for the one that controls it. Life in the undercity of Draeken, also known as The Depths, is brutal enough. But when an ill-fated encounter leaves you forever altered—your blood itself changed—you’ll soon realize that time is strange, and the thin fabric of reality a fickle thing. Even more so when it’s something you can no longer just witness … but may be forced to control.

Until the Dogs Come Home (CScript) is about war, though you play no part in it. Instead, you are the sole member of your hometown’s postal service, who must venture into fire and brimstone to bring the word of loved ones to the front lines. As the battle rages on and new truths come to light, your seemingly simple job transforms into a rescue mission, where the very lives of the people you were tasked to deliver to are in your hands.

In Velocity's Edge (Twine) as the adrenaline-soaked story unfolds, secrets are unveiled, loyalties are tested, and the pursuit of the checkered flag takes on a life of its own, propelling the characters toward the finish line which is only the beginning of the ultimate race. @velocitysedge-if

In the summer of 1984 you get a letter informing you of your mother's death. The first and only letter you get in ten years since you left your hometown. You stand in the middle of the old, tiny room that you can barely afford to rent and read it over and over again until the buzz at the back of your head quiets down. - There Are No People Left (Twine)

In Bride of Shadows (Twine) step into the tragic and fleeting existence of a Vestal of Dawn—a priestess bound by sacred vows of purity and an unwavering devotion to scripture. But when the sun goddess abandons you, your faith shatters. In your darkest moment, a tempting offer arises. A new covenant. A second chance at life... but at a cost. @bride-of-shadows-if

In Lecture Me Later (Unity) you wake up in a classroom way after your lecture concludes. The person who wakes you up looks familiar. Oh right, it's that one popular guy that everyone likes. With the light of the setting sun on your skin, you engage in conversation with the popular young man, realizing that things are taking a very scandalous turn, and that his interests are far more fascinating than you'd think. @lehxra-arts

~ UPDATES ~

A Shriek of Ash and Fire (CScript) added new content to their demo. @krogpile

Eldritch Tales: Inheritance (CScript) released second portion of Chapter 3. @darielivalyen

Keeper of Life and Death (CSscript) added new content to their demo. @keeperofthesunandmoon

Lightweaver: Chosen (CSscript) updated their demo. @lightweaver-chosen-if

My One and Only (CSscript) added new content to their demo. @reds-corner

Strings of Fate: Origins (CScript) released full Chapter 3.

The Eternal Library (CScript) updated their demo. @leiatalon

The Ultimate Magic Student (CScript) added new content to their demo

Thicker Than (CScript) updated their demo. @barbwritesstuff

Throne of Blood (CScript) released Zero and Cy’s aftermath Chapters. @throneofblood-if

Tri City Monsters (Ren’Py) released Akello Chapter 4. @tricitymonsters

Weeping Gods (CScript) updated their demo. @jcollinswrites

When Life Gives You Lemons (CScript) added new content to their demo. @when-life-gives-you-lemons-if

Chop Shop (CScript) released Episode 4. @losergames

Help! I Got Isekaied as a Lamia (CScript) added new content to the demo @succubus-interactivefiction

Marry My Stalker released Chapter 1.

The King's Hound (Twine) released the second half of Chapter 2. @the-kingshound

Hybrid (Twine) added new content to their demo. @heart-forge

~ OTHER ~

Mathbrush released Learning from the Best of Text [IF History Book], a collection of various historical essays about the history of interactive fiction as told through the lens of IFComp, the XYZZY Awards, and Spring Thing. (We thank Anon for bringing our attention to this release.)

When Winter Comes Again (Definitive Edition) (Ren’Py) is the fully remastered version of the romance visual novel originally released for mobile devices. Now available on PC, this edition brings an enhanced experience with improved visuals, and refined storytelling.

To Ashes You Shall Return (CScript) is looking for beta testers!

Sanguine Sky: Winter Special Collection of the short stories is out! @sanguinesky-if

let’s TEST IF#2: playtesting your game is also out! @golmac

As you might have heard, Dashingdon, a free ChoiceScript game hosting service, will be shutting down at the end of the month. All users and games will be permanently deleted. (Read more here)

If you know about a project that’s moving to an alternative hosting service, please consider updating the link in our Database. Our Team will be working on this in the upcoming weeks, but any help would be appreciated.

As always, we apologize in advance for missing any update or release from the past week. We are only volunteers using their limited free time to find as much as we can - but sometimes things pass through the cracks. If you think something should have been included in this week's zine but did not appear, please shoot us a message! We'll do our best to add it next week! And if you know oncoming news, add it here!

~ MAYBE YOU NEXT? ~

We did not get a submission this week. But if you have an idea for a short essay, or would like a special space to share your thoughts about IF and the community...

Shoot us an email!

~ HIGHLIGHT ON ~

A couple of games that we thought were cool.

Velocity's Edge by Amelia (Twine).

It's the first F1 based interactive fiction I've seen! Its very unique!

//submitted by anon//

Your favourite game here?

Do you have a favourite game that deserves some highlighting?

An old or recent game that wowed you so much you spam it to everyone?

Tell us about it! And it might appear here!

WE LOVE TO HEAR FROM YOU ALL! WHETHER IT'S GOOD OR BAD, OR EVERYTHING IN BETWEEN...

Have something to say? Send us a message titled: Zine Letter!

As we end this issue, we would like to thank:

our anons

For sending us a Highlight and news!!

And as always, huge thanks to all you readers who liked, shared, and commented on last week's issue! What might be tiny actions are huge support and motivators to us!

Thank you for cheering us on this journey!

See you in two weeks!

BEX, DION, BRIAR AND PETER

WHAT'S NEW IN IF? 2025-ISSUE 2

THIS ZINE ONLY HAPPENS WITH YOU!

Want to write 1-2 pages about a neat topic, or deep-dive into a game and review it in details? Share personal experiences or get all academic?

WRITE FOR THE COLUMN!

Prefer to be more low-key but still have something to share? Send us a Zine Letter or share a game title for Highlight on…!

WE WANT TO HEAR FROM YOU!

Came across something interesting? Know a release or an update announced? Saw an event happening? Whether it's a game, an article, a podcast… Add any IF-related content to our mini-database!

EVERY LITTLE BIT COUNTS!

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aroaessidhe · 3 days ago

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aro & ace books: sci-fi

see sci-fi set in space post here

Firebreak - dystopian, aroace MC

The Meister of Decimen City - superhero, bi ace MC

Cradle and Grave - postapoc/horror, aroace MC

Werecockroach - alien 'invasion' novella, aroace MC

The Art of Saving The World - multiverse, YA, questioning ace lesbian MC

The Butterfly Assassin - YA scifi-adjacent thriller, aroace MC, aro/aroace SCs

Bang Bang Bohdisattva - cyberpunk, 1/2 ace MCs

Blasted Research - alien planet, ace MC

Power To Yield - alien planet, 2 aroace MCs

Sal & Gabi Break The Universe - multiverse, MG, aro (ace coded) MC

Green Rising - climate fiction, aroace major character

Màgòdiz - postapoc scififantasy, 1/6 aroace MCs

Gods, Monsters, & the Lucky Peach - clifi/time travel, ace SC

Quicksilver - YA, ace MC

Hamlet, Prince of Robots - robot hamlet retelling, ace MC, aroace SC

Blood Like Magic - YA scififantasy, demiromantic SC

Sidekick Squad (Not Your Backup) - YA superhero, aroacespec MC

#aspec books / aspec database / tumblr masterpost

info included here is brief! please see my database for full details of the books

#aspec books #sci-fi books #firebreak #sal & gabi break the universe #green rising #power to yield #cradle and grave #the meister of decimen city #the art of saving the world #asexual #aromantic

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crookedkryptonitebeliever · 1 year ago

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Best and Worst of Both Worlds (Part 16)

tw: literally Yves watching ur every move, super suffocating stuff, Yandere shenanigans

Yeah ok u guys decided to lust for the creep, then the creep u shall receive

after this chapter i mean

Part 17

You told him your opinion on Montgomery.

"I see." He replied. Yves deadpanned at you before pulling you in for another kiss on the lips. Your face and the tips of your ears heat up, you're still not used to this yet.

He pulled away and chuckled at your bashfulness. Trying to cover your burning face with your hands is futile, as it only makes him tease you more.

"Call me if you need to go somewhere. I'm available for you any time." He slung the straps of his handbag around his shoulder, and Yves prepared his car keys in his hand.

You told him 'okay' as you're rubbing the last of his lipstick marks off using a piece of wet wipe.

He stroked your head, traced his fingertips down your jaw and finally held your chin. He tilted your head upwards and gave you a forehead kiss.

You whinged as you now have to wipe off one last print. He bid you goodbye before closing and locking the front door behind him.

Soon after, you dashed back into your room trying to escape your housemates hollering.

Days would go on like this: Yves breaks into your house using the spare key, scare the shit out of you when you open the door to see him standing there, receive adequate kisses, eat (br)lunch, talk for hours, landlord comes over to fix more stuff, eat dinner and finally, at around midnight- sometimes later, Yves would leave.

You would go to sleep almost immediately, but definitely looking forward to the next day.

He started coming in earlier and earlier, working on his things during times where you had nothing to say. You asked him about his work, he tried explaining it to you but you zoned out. It's so boring and complicated. Full of numbers, charts and graphs, you couldn't care less.

Needless to say, he cooked all your meals and did all your chores for you. You always protested, because it isn't his job and you should be responsible for taking out the trash or keeping yourself alive.

Yves would simply ignore you and do them anyway. If you're particularly worried, he assures you that it's some sort of a hobby of his to take good care of you. If you insist that he stops, he will guilt you; making you think that you're unnecessarily taking away part of his joy in this relationship when it isn't even harming you. So you just let him do what he wants, and you benefit from it greatly.

You really like him. He lets you take a nap on his lap while he types away at your desk, Yves listens to you ramble about your interests and occasionally adds his own fascinating commentary to it. You were astonished to know he has a whole database of random fandom trivia in his head. He washed your sheets and made your bed for you every morning.

He lets you hog his portable fan to yourself. But eventually, his bargaining powers lead to your landlord installing a ceiling air conditioner in your room. The best part? No rise in rent.

Yves gradually introduced you to a solid skincare routine. It started off with a simple face cleanser and moisturizer. Then he added toner to the regime. Then a weekly exfoliation and bi-weekly usage of sheet masks. It was hard for you to remember to do it or have the motivation, but Yves didn't mind maintaining your skin.

You just love the tingles you felt when he reclined you on your chair and he massages your face with the moisturizer. His fingers skillfully work to unravel you.

He made your house actually enjoyable to live in. You haven't gone out in three weeks and that didn't alarm you. You are glowing, physically fitter than ever, clean and most importantly, happy.

You have the drive to do so many things. Like learning a new language, learning to code, learning to knit or crochet, learning to draw... anything you wanted to do, Yves is always the expert to consult. He would buy the materials you need and teach you step by step. It made sense for him to be an extraordinary mentor, because you found out that he was also an exemplary lecturer at your university at one point.

You confirmed that he's currently a researcher, specifically, a research mathematician who works together with other branches of academia including but not limited to human Psychology, biology and sociology. The gist of his project has to do with predictive algorithms and probabilities. It's impressive and complicated, too bad you're not interested beyond what was described in a nutshell.

It's no secret that you look up to him, seeing that you're also a student looking to advance their education.

But it begs the question of his age. He has done so much in a short span of time. You wonder what his true age is.

But it's almost impossible to know because he would be offended whenever his age is brought up. It seems like he despised being perceived as ancient, which you understand. He probably comes from a time where youth is overly worshipped. You let it go, it isn't like his age affects you in any way.

It doesn't mean you didn't try searching him up. At first you suspected that he was lying because you couldn't find anything about him working at your university on the internet. But you sent an email to the administration asking about him. They came back with the confirmation that Yves is currently a hired researcher there. Strange that they knew who he is without knowing his last name. You guess there's only one Yves in the entirety of his faculty.

Speaking of names, you were shocked to find out that Yves didn't have a last name. After tons of relentless teasing from Yves for wanting to know his surname and a platitude of shame-induced face coverings later, you finally discovered he doesn't have one. This was bizarre to you, but Yves only told you off for being insensitive towards him, as not everyone has the privilege of a last name. It seems like a touchy subject, better not bring it up again.

Although it has been around a month since you think you first met Yves, you can safely say that you're madly in love with him. He is way more attentive and caring of you than anyone you ever met. Not even your parents or guardians can compare. Absolutely no one in your life has treated you this well.

There is that nagging feeling that something is very wrong. It wasn't a "He is going to leave you for someone better" feeling, it was more of a "what if Yves is secretly an organ harvester and he's healing you up to make a good price on the black market?"

But due to blind love, you forced yourself to brush it off as some implausible, impossible, silly thought.

...is it though? Yves does give off uncanny vibes sometimes no matter how suave and sexy he is. He has a lot of things to hide and the knowledge that you have of him is not enough to save you if he ever decides to steal a kidney or two.

Maybe this relationship isn't good for you. It keeps giving you inner turmoil to lose sleep over. This is definitely too good to be true, no one likes being a full time babysitter for their partner; this has to be a trap! You think you should quickly break it off with Yves before it gets too--

You were interrupted from your thoughts when you felt the chilly air from the air conditioner nip at your skin. The bliss of not being boiled alive by your own fluid trickles down your forehead.

You close your eyes and grin, letting the wind blow on your sweaty hair. This is lovely, you're so grateful to have Yves in your life. If you didn't have him here, you wouldn't be able to enjoy this temperate luxury.

Yves lets his focused gaze linger on your form for a few more seconds before replacing the remote back onto the holder. Yves pressed the button on his stopwatch, the beep was soft enough to go unnoticed.

He checked the temperature, the time and the humidity of your bedroom before logging them all into his computer. Yves turned his head to look at your position on the floor, you're splayed out like a rag as gusts of cold air strike your body.

He opened another file, which is the floorplan of this house. His eyes scanned the screen, noting down the exact coordinates of your precise location.

It would always be like this. You would start formulating thoughts and suspicions on Yves, spiral so much that you contemplated ending everything to protect yourself, then something interrupts your mind and eradicating the unwanted ideas entirely. Be it a change in temperature, texture, hunger or thirst. Sometimes, it's because you feel you hit your Yves-interaction/social quota for the day. So he would excuse himself and leave your house until you recovered.

He always comes back at the perfect time. Just right when you're starting to yearn for him. Yves ensures he never leaves for too long to make you think he's neglecting you. But he wouldn't come back too soon to make you go "yuck, this bitch's face again?"

Your signs could be as minuscule as a lower lip twitch, a brief, split-second movement of the eye, flaring of nostrils, positioning of your arms or even a change in the depth or rhythm of your breathing.

Or it could be an increase in heart rate, body temperature or sweat beading from your pores. Hell, it could even be the sound of you swallowing your spit or the smell of irritation.

They are all telltale signs that you're about to do or think about something undesirable due to overwhelm or underwhelm.

It's scary. He could just detect it with his superhuman senses. But ignorance is bliss, you still didn't know that he's puppeteering your environment accordingly. He would very much like to keep it that way.

Yves must admit, he has been careless. For the past three weeks, he failed to consider that his daily presence is wearing you down. It was his own fault for disregarding his calculations, Yves was originally only supposed to see you four times a week; that was the most optimal arrangement.

But he was enamoured, as desperate and feverish as you to be together. He just hides it impeccably well. Could you blame him, though? This was the first time you acknowledged him, the first time Yves got to kiss, touch, and hug you as freely as he wanted. The first time he gets to observe past the use of cameras- he does not need to hide. He gets to put his elaborate meal plans to use, you're eating his cooking, he's washing your clothes and you're accepting his backrubs. This is the closest so far to the ideal he wanted in his life with you. Anyone would be greedy in his situation.

But he flew too close to the sun like Icarus did. The wax melted off his wings and now he has to face the consequences that would have been avoided if only he had controlled himself better.

He's starting to notice you're not as positively receptive to his kisses as before. Sometimes even outright grimacing and shuddering in disgust when you think he's not looking. You spent a couple minutes longer in the bathroom, sometimes up to an hour, claiming you had stomach issues. But you didn't have problems with your digestion, your boyfriend made sure of that. He meticulously checks everything that goes into your mouth and he knows you didn't even pull your pants down. All you did was sit in the corner and scroll on your phone.

You did it just to escape from Yves and he's fully aware of that.

It devastated him when he went through your internet history:

Yves removed his reading glasses and pinched the bridge of his nose. He checked the timestamps, and you accessed the web since three in the morning.

"Why are my boyfriend's kisses and hugs gross to me now"

"Clingy boyfriend"

"How to tell my boyfriend to stop being clingy without hurting his feelings"

"How to say no to hugs"

"How to say no to hugs and kisses"

"How to say no"

"How to stop people pleasing"

"How to tell people that i dont want to see them but not forever just for a few days"

"Social battery"

"Therapists near me"

"Therapy price"

"is University counseling free"

"university counseling wait times"

"How to break up with my boyfriend"

"Is it rude to break up over text"

"Script for breaking up"

"Nice script for breaking up"

"Kind script for breaking up"

"Breaking up without hurting his feelings script"

"ChatGPT"

"Do retired lecturers have a habit of checking for plagiarism in their day to day life"

"Is AI generated content plagiarism"

"Jobs near me"

He knows he has no one but himself to blame. He had a plan all laid out, if he followed it to a Tee, it would have conditioned you to ultimately accept his intense love without complaints. He was supposed to give you a maximum of one kiss on the lips and four others somewhere else on your face. But gave you a whopping average of 76 kisses a day, 20 of which are on the lips; 1520% of the actual daily cap on kisses.

Likewise, he hugged you too much. Yves was only supposed to give you 12 hugs, lasting 8 seconds each at most, spaced throughout the day. However, you're in his arms for a total of 6 hours a day; 2250% of the maximum.

He is the first thing you see in the morning and the last face you perceive before sleeping, From before sunrise to past beyond sundown, you would be exposed to him; from 6am to 12am the next day; he would already be in your room before you're even awake. Subconsciously, you know he's there because the brain never stops working.

Of course, you would be sick of him! It doesn't matter if you came from an affectionate family or you turned out severely touch-starved, with extreme figures like these, anyone would be nauseated with his presence by the third week!

Yves fought back the urge to run the numbers back the fifth time. The cold hard facts are there, he made a grave mistake. Painstakingly recalculating everything is just a pathetic attempt to appease his denial that he lost control over himself.

He sighed and propped his head up by an elbow, absentmindedly fiddling on his calculator. Yves's eyes flitted up to the monitor. You're curled up into a ball on your bed, scrolling on your phone. Most likely to try and catch up with your own me-time. Yves could see pixels of bags forming under your eyes.

He shook his head and decided he must rectify this. Yves got up from his seat and sauntered out of his office, switching the lights off but leaving his surveillance equipment on.

Meanwhile, you yawned, closing your eyes and letting your phone slip next to you. Finally but reluctantly drifting off to sleep.

#yandere #yandere x reader #yandere oc #yandere male #yandere concept #tw yandere #yandere x you #yandere oc x reader #male yandere oc x reader #oc yves #oc montgomery

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borealing · 2 months ago

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found out ao3 was scraped again but this time they have a database of all the works that were scraped and 👍 literally all of my works were scraped

#76 works #so many hours of my life and im just a tiny drop in that whole fucking list

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mooruri · 6 months ago

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⋅ .*• .’⋅* .*•.’⋅*⋅•⋅⊰∙∘☽༓☾∘∙⊱⋅•⋅ .*•.’⋅* .* •.’⋅* ⋅

hello there lovely,

I’m moi (as in /moy/)

❥ 20 yrs old, femme lesbian, they/them is much preferred

❥ Switch (I’d like to think I’m as 50/50 as you can get, but i truly love topping/power bottoming)

❥ I love many things such as crocheting, knitting, ceramics, writing, etc and i use this as my outlet since, yes, i was a smutty wattpad teen growing up

❥ Trans & nonbinary people will always have a place here~

❥ this is page has nsfw content, however, i am a person who enjoys the world around me and the people within it so always feel free to say “hi hi”~

❥ Do not interact if you’re a man and/or minor, homo/bi/trans (really anything of that sorts)— phobic, racist, misogynistic, really if my existence bothers you, just don’t pay attention to me.

❥ this blog is solely for adult girlies and for me to take you through my world as a black woman loving woman. If you cannot respect that, do not bother me because i have too many issues to include yours on there too.

↳ read more for my welcomed lovelies ↲

⋆˖⁺‧₊☽◯☾₊‧⁺˖⋆

❥ Writings and posts made by me will include personal likes, fantasies, & experiences revolving around my own interests. Praising, degradation, oral sex, mark making (biting, hickeys, scratching), mommy kink, overstimulation, dildo/strap, free use, & other stuff along those lines.

❥ Hard no’s (and overall unwelcome) are p3dos, inc3st, v0mit/stool, and really anything that makes me go “yeah no-“

…..

Moi’s Angels (Taken anon tags)

#🔎

…..

Moi’s Database (Blog #’s)

#mooruri flirts : nsfw posts

#mooruri yaps : random shit I say & updates

#mooruri mumbles : reposts

#mooruri answers : anon/inbox replies

#mooruri poses : photos of moi

#wlw yearning #wlw community #read before interacting #wlw

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womaneng · 10 months ago

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Hey there! 🚀 Becoming a data analyst is an awesome journey! Here’s a roadmap for you:

1. Start with the Basics 📚:

- Dive into the basics of data analysis and statistics. 📊

- Platforms like Learnbay (Data Analytics Certification Program For Non-Tech Professionals), Edx, and Intellipaat offer fantastic courses. Check them out! 🎓

2. Master Excel 📈:

- Excel is your best friend! Learn to crunch numbers and create killer spreadsheets. 📊🔢

3. Get Hands-on with Tools 🛠️:

- Familiarize yourself with data analysis tools like SQL, Python, and R. Pluralsight has some great courses to level up your skills! 🐍📊

4. Data Visualization 📊:

- Learn to tell a story with your data. Tools like Tableau and Power BI can be game-changers! 📈📉

5. Build a Solid Foundation 🏗️:

- Understand databases, data cleaning, and data wrangling. It’s the backbone of effective analysis! 💪🔍

6. Machine Learning Basics 🤖:

- Get a taste of machine learning concepts. It’s not mandatory but can be a huge plus! 🤓🤖

7. Projects, Projects, Projects! 🚀:

- Apply your skills to real-world projects. It’s the best way to learn and showcase your abilities! 🌐💻

8. Networking is Key 👥:

- Connect with fellow data enthusiasts on LinkedIn, attend meetups, and join relevant communities. Networking opens doors! 🌐👋

9. Certifications 📜:

- Consider getting certified. It adds credibility to your profile. 🎓💼

10. Stay Updated 🔄:

- The data world evolves fast. Keep learning and stay up-to-date with the latest trends and technologies. 📆🚀

. . .

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sonadukane · 2 months ago

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How to Become a Data Scientist in 2025 (Roadmap for Absolute Beginners)

Want to become a data scientist in 2025 but don’t know where to start? You’re not alone. With job roles, tech stacks, and buzzwords changing rapidly, it’s easy to feel lost.

But here’s the good news: you don’t need a PhD or years of coding experience to get started. You just need the right roadmap.

Let’s break down the beginner-friendly path to becoming a data scientist in 2025.

✈️ Step 1: Get Comfortable with Python

Python is the most beginner-friendly programming language in data science.

What to learn:

Variables, loops, functions

Libraries like NumPy, Pandas, and Matplotlib

Why: It’s the backbone of everything you’ll do in data analysis and machine learning.

🔢 Step 2: Learn Basic Math & Stats

You don’t need to be a math genius. But you do need to understand:

Descriptive statistics

Probability

Linear algebra basics

Hypothesis testing

These concepts help you interpret data and build reliable models.

📊 Step 3: Master Data Handling

You’ll spend 70% of your time cleaning and preparing data.

Skills to focus on:

Working with CSV/Excel files

Cleaning missing data

Data transformation with Pandas

Visualizing data with Seaborn/Matplotlib

This is the “real work” most data scientists do daily.

🧬 Step 4: Learn Machine Learning (ML)

Once you’re solid with data handling, dive into ML.

Start with:

Supervised learning (Linear Regression, Decision Trees, KNN)

Unsupervised learning (Clustering)

Model evaluation metrics (accuracy, recall, precision)

Toolkits: Scikit-learn, XGBoost

🚀 Step 5: Work on Real Projects

Projects are what make your resume pop.

Try solving:

Customer churn

Sales forecasting

Sentiment analysis

Fraud detection

Pro tip: Document everything on GitHub and write blogs about your process.

✏️ Step 6: Learn SQL and Databases

Data lives in databases. Knowing how to query it with SQL is a must-have skill.

Focus on:

SELECT, JOIN, GROUP BY

Creating and updating tables

Writing nested queries

🌍 Step 7: Understand the Business Side

Data science isn’t just tech. You need to translate insights into decisions.

Learn to:

Tell stories with data (data storytelling)

Build dashboards with tools like Power BI or Tableau

Align your analysis with business goals

🎥 Want a Structured Way to Learn All This?

Instead of guessing what to learn next, check out Intellipaat’s full Data Science course on YouTube. It covers Python, ML, real projects, and everything you need to build job-ready skills.

https://www.youtube.com/watch?v=rxNDw68XcE4

🔄 Final Thoughts

Becoming a data scientist in 2025 is 100% possible — even for beginners. All you need is consistency, a good learning path, and a little curiosity.

Start simple. Build as you go. And let your projects speak louder than your resume.

Drop a comment if you’re starting your journey. And don’t forget to check out the free Intellipaat course to speed up your progress!

#data science #data science course #data science training #data science projects

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digitaldetoxworld · 2 months ago

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Data Analysis: Turning Information into Insight

In nowadays’s digital age, statistics has come to be a vital asset for businesses, researchers, governments, and people alike. However, raw facts on its personal holds little value till it's far interpreted and understood. This is wherein records evaluation comes into play. Data analysis is the systematic manner of inspecting, cleansing, remodeling, and modeling facts with the objective of coming across beneficial information, drawing conclusions, and helping selection-making.

What Is Data Analysis In Research

What is Data Analysis?

At its middle, records analysis includes extracting meaningful insights from datasets. These datasets can variety from small and based spreadsheets to large and unstructured facts lakes. The primary aim is to make sense of data to reply questions, resolve issues, or become aware of traits and styles that are not without delay apparent.

Data evaluation is used in truely every enterprise—from healthcare and finance to marketing and education. It enables groups to make proof-based choices, improve operational efficiency, and advantage aggressive advantages.

Types of Data Analysis

There are several kinds of information evaluation, every serving a completely unique purpose:

1. Descriptive Analysis

Descriptive analysis answers the question: “What happened?” It summarizes raw facts into digestible codecs like averages, probabilities, or counts. For instance, a store might analyze last month’s sales to decide which merchandise achieved satisfactory.

2. Diagnostic Analysis

This form of evaluation explores the reasons behind beyond outcomes. It answers: “Why did it occur?” For example, if a agency sees a surprising drop in internet site visitors, diagnostic evaluation can assist pinpoint whether or not it changed into because of a technical problem, adjustments in search engine marketing rating, or competitor movements.

3. Predictive Analysis

Predictive analysis makes use of historical information to forecast destiny consequences. It solutions: “What is probable to occur?” This includes statistical models and system getting to know algorithms to pick out styles and expect destiny trends, such as customer churn or product demand.

4. Prescriptive Analysis

Prescriptive analysis provides recommendations primarily based on facts. It solutions: “What have to we do?” This is the maximum advanced type of analysis and often combines insights from predictive analysis with optimization and simulation techniques to manual selection-making.

The Data Analysis Process

The technique of information analysis commonly follows those steps:

1. Define the Objective

Before diving into statistics, it’s essential to without a doubt recognize the question or trouble at hand. A well-defined goal guides the entire analysis and ensures that efforts are aligned with the preferred outcome.

2. Collect Data

Data can come from numerous sources which includes databases, surveys, sensors, APIs, or social media. It’s important to make certain that the records is relevant, timely, and of sufficient high-quality.

3. Clean and Prepare Data

Raw information is regularly messy—it may comprise missing values, duplicates, inconsistencies, or mistakes. Data cleansing involves addressing these problems. Preparation may include formatting, normalization, or growing new variables.

Four. Analyze the Data

Tools like Excel, SQL, Python, R, or specialized software consisting of Tableau, Power BI, and SAS are typically used.

5. Interpret Results

Analysis isn't pretty much numbers; it’s about meaning. Interpreting effects involves drawing conclusions, explaining findings, and linking insights lower back to the authentic goal.

6. Communicate Findings

Insights have to be communicated effectively to stakeholders. Visualization tools including charts, graphs, dashboards, and reports play a vital position in telling the story behind the statistics.

7. Make Decisions and Take Action

The last aim of statistics analysis is to tell selections. Whether it’s optimizing a advertising marketing campaign, improving customer support, or refining a product, actionable insights flip data into real-global effects.

Tools and Technologies for Data Analysis

A big selection of gear is available for facts analysis, each suited to distinct tasks and talent levels:

Excel: Great for small datasets and short analysis. Offers capabilities, pivot tables, and charts.

Python: Powerful for complicated facts manipulation and modeling. Popular libraries consist of Pandas, NumPy, Matplotlib, and Scikit-learn.

R: A statistical programming language extensively used for statistical analysis and statistics visualization.

SQL: Essential for querying and handling information saved in relational databases.

Tableau & Power BI: User-friendly enterprise intelligence equipment that flip facts into interactive visualizations and dashboards.

Healthcare: Analyzing affected person statistics to enhance treatment plans, predict outbreaks, and control resources.

Finance: Detecting fraud, coping with threat, and guiding investment techniques.

Retail: Personalizing advertising campaigns, managing inventory, and optimizing pricing.

Sports: Enhancing performance through participant records and game analysis.

Public Policy: Informing choices on schooling, transportation, and financial improvement.

Challenges in Data Analysis

Data Quality: Incomplete, old, or incorrect information can lead to deceptive conclusions.

Data Privacy: Handling sensitive records requires strict adherence to privacy guidelines like GDPR.

Skill Gaps: There's a developing demand for skilled information analysts who can interpret complicated facts sets.

Integration: Combining facts from disparate resources may be technically hard.

Bias and Misinterpretation: Poorly designed analysis can introduce bias or lead to wrong assumptions.

The Future of Data Analysis

As facts keeps to grow exponentially, the sector of facts analysis is evolving rapidly. Emerging developments include:

Artificial Intelligence (AI) & Machine Learning: Automating evaluation and producing predictive fashions at scale.

Real-Time Analytics: Enabling decisions based totally on live data streams for faster reaction.

Data Democratization: Making records handy and understandable to everybody in an business enterprise

#What Is Data Analysis In Research #data analysis software #data analyst jobs

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datawarehousing01 · 3 months ago

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Data warehousing solution

Unlocking the Power of Data Warehousing: A Key to Smarter Decision-Making

In today's data-driven world, businesses need to make smarter, faster, and more informed decisions. But how can companies achieve this? One powerful tool that plays a crucial role in managing vast amounts of data is data warehousing. In this blog, we’ll explore what data warehousing is, its benefits, and how it can help organizations make better business decisions.

What is Data Warehousing?

At its core, data warehousing refers to the process of collecting, storing, and managing large volumes of data from different sources in a central repository. The data warehouse serves as a consolidated platform where all organizational data—whether from internal systems, third-party applications, or external sources—can be stored, processed, and analyzed.

A data warehouse is designed to support query and analysis operations, making it easier to generate business intelligence (BI) reports, perform complex data analysis, and derive insights for better decision-making. Data warehouses are typically used for historical data analysis, as they store data from multiple time periods to identify trends, patterns, and changes over time.

Key Components of a Data Warehouse

To understand the full functionality of a data warehouse, it's helpful to know its primary components:

Data Sources: These are the various systems and platforms where data is generated, such as transactional databases, CRM systems, or external data feeds.

ETL (Extract, Transform, Load): This is the process by which data is extracted from different sources, transformed into a consistent format, and loaded into the warehouse.

Data Warehouse Storage: The central repository where cleaned, structured data is stored. This can be in the form of a relational database or a cloud-based storage system, depending on the organization’s needs.

OLAP (Online Analytical Processing): This allows for complex querying and analysis, enabling users to create multidimensional data models, perform ad-hoc queries, and generate reports.

BI Tools and Dashboards: These tools provide the interfaces that enable users to interact with the data warehouse, such as through reports, dashboards, and data visualizations.

Benefits of Data Warehousing

Improved Decision-Making: With data stored in a single, organized location, businesses can make decisions based on accurate, up-to-date, and complete information. Real-time analytics and reporting capabilities ensure that business leaders can take swift action.

Consolidation of Data: Instead of sifting through multiple databases or systems, employees can access all relevant data from one location. This eliminates redundancy and reduces the complexity of managing data from various departments or sources.

Historical Analysis: Data warehouses typically store historical data, making it possible to analyze long-term trends and patterns. This helps businesses understand customer behavior, market fluctuations, and performance over time.

Better Reporting: By using BI tools integrated with the data warehouse, businesses can generate accurate reports on key metrics. This is crucial for monitoring performance, tracking KPIs (Key Performance Indicators), and improving strategic planning.

Scalability: As businesses grow, so does the volume of data they collect. Data warehouses are designed to scale easily, handling increasing data loads without compromising performance.

Enhanced Data Quality: Through the ETL process, data is cleaned, transformed, and standardized. This means the data stored in the warehouse is of high quality—consistent, accurate, and free of errors.

Types of Data Warehouses

There are different types of data warehouses, depending on how they are set up and utilized:

Enterprise Data Warehouse (EDW): An EDW is a central data repository for an entire organization, allowing access to data from all departments or business units.

Operational Data Store (ODS): This is a type of data warehouse that is used for storing real-time transactional data for short-term reporting. An ODS typically holds data that is updated frequently.

Data Mart: A data mart is a subset of a data warehouse focused on a specific department, business unit, or subject. For example, a marketing data mart might contain data relevant to marketing operations.

Cloud Data Warehouse: With the rise of cloud computing, cloud-based data warehouses like Google BigQuery, Amazon Redshift, and Snowflake have become increasingly popular. These platforms allow businesses to scale their data infrastructure without investing in physical hardware.

How Data Warehousing Drives Business Intelligence

The purpose of a data warehouse is not just to store data, but to enable businesses to extract valuable insights. By organizing and analyzing data, businesses can uncover trends, customer preferences, and operational inefficiencies. Some of the ways in which data warehousing supports business intelligence include:

Customer Segmentation: Companies can analyze data to segment customers based on behavior, demographics, or purchasing patterns, leading to better-targeted marketing efforts.

Predictive Analytics: By analyzing historical data, businesses can forecast trends and predict future outcomes, such as sales, inventory needs, and staffing levels.

Improved Operational Efficiency: With data-driven insights, businesses can streamline processes, optimize supply chains, and reduce costs. For example, identifying inventory shortages or surplus can help optimize stock levels.

Challenges in Data Warehousing

While the benefits of data warehousing are clear, there are some challenges to consider:

Complexity of Implementation: Setting up a data warehouse can be a complex and time-consuming process, requiring expertise in database management, ETL processes, and BI tools.

Data Integration: Integrating data from various sources with differing formats can be challenging, especially when dealing with legacy systems or unstructured data.

Cost: Building and maintaining a data warehouse can be expensive, particularly when managing large volumes of data. However, the investment is often worth it in terms of the business value generated.

Security: With the consolidation of sensitive data in one place, data security becomes critical. Organizations need robust security measures to prevent unauthorized access and ensure compliance with data protection regulations.

The Future of Data Warehousing

The world of data warehousing is constantly evolving. With advancements in cloud technology, machine learning, and artificial intelligence, businesses are now able to handle larger datasets, perform more sophisticated analyses, and automate key processes.

As companies increasingly embrace the concept of a "data-driven culture," the need for powerful data warehousing solutions will continue to grow. The integration of AI-driven analytics, real-time data processing, and more intuitive BI tools will only further enhance the value of data warehouses in the years to come.

Conclusion

In today’s fast-paced, data-centric world, having access to accurate, high-quality data is crucial for making informed business decisions. A robust data warehousing solution enables businesses to consolidate, analyze, and extract valuable insights from their data, driving smarter decision-making across all departments. While building a data warehouse comes with challenges, the benefits—improved efficiency, better decision-making, and enhanced business intelligence—make it an essential tool for modern organizations.

You said:

blog for Data warehousing

ChatGPT said:

Title: Data Warehousing: The Backbone of Data-Driven Decision Making

In today’s fast-paced business environment, the ability to make data-driven decisions quickly is paramount. However, to leverage data effectively, companies need more than just raw data. They need a centralized, structured system that allows them to store, manage, and analyze data seamlessly. This is where data warehousing comes into play.

Data warehousing has become the cornerstone of modern business intelligence (BI) systems, enabling organizations to unlock valuable insights from vast amounts of data. In this blog, we’ll explore what data warehousing is, why it’s important, and how it drives smarter decision-making.

What is Data Warehousing?

At its core, data warehousing refers to the process of collecting and storing data from various sources into a centralized system where it can be easily accessed and analyzed. Unlike traditional databases, which are optimized for transactional operations (i.e., data entry, updating), data warehouses are designed specifically for complex queries, reporting, and data analysis.

A data warehouse consolidates data from various sources—such as customer information systems, financial systems, and even external data feeds—into a single repository. The data is then structured and organized in a way that supports business intelligence (BI) tools, enabling organizations to generate reports, create dashboards, and gain actionable insights.

Key Components of a Data Warehouse

Data Sources: These are the different systems or applications that generate data. Examples include CRM systems, ERP systems, external APIs, and transactional databases.

ETL (Extract, Transform, Load): This is the process by which data is pulled from different sources (Extract), cleaned and converted into a usable format (Transform), and finally loaded into the data warehouse (Load).

Data Warehouse Storage: The actual repository where structured and organized data is stored. This could be in traditional relational databases or modern cloud-based storage platforms.

OLAP (Online Analytical Processing): OLAP tools enable users to run complex analytical queries on the data warehouse, creating reports, performing multidimensional analysis, and identifying trends.

Business Intelligence Tools: These tools are used to interact with the data warehouse, generate reports, visualize data, and help businesses make data-driven decisions.

Benefits of Data Warehousing

Improved Decision Making: By consolidating data into a single repository, decision-makers can access accurate, up-to-date information whenever they need it. This leads to more informed, faster decisions based on reliable data.

Data Consolidation: Instead of pulling data from multiple systems and trying to make sense of it, a data warehouse consolidates data from various sources into one place, eliminating the complexity of handling scattered information.

Historical Analysis: Data warehouses are typically designed to store large amounts of historical data. This allows businesses to analyze trends over time, providing valuable insights into long-term performance and market changes.

Increased Efficiency: With a data warehouse in place, organizations can automate their reporting and analytics processes. This means less time spent manually gathering data and more time focusing on analyzing it for actionable insights.

Better Reporting and Insights: By using data from a single, trusted source, businesses can produce consistent, accurate reports that reflect the true state of affairs. BI tools can transform raw data into meaningful visualizations, making it easier to understand complex trends.

Types of Data Warehouses

Enterprise Data Warehouse (EDW): This is a centralized data warehouse that consolidates data across the entire organization. It’s used for comprehensive, organization-wide analysis and reporting.

Data Mart: A data mart is a subset of a data warehouse that focuses on specific business functions or departments. For example, a marketing data mart might contain only marketing-related data, making it easier for the marketing team to access relevant insights.

Operational Data Store (ODS): An ODS is a database that stores real-time data and is designed to support day-to-day operations. While a data warehouse is optimized for historical analysis, an ODS is used for operational reporting.

Cloud Data Warehouse: With the rise of cloud computing, cloud-based data warehouses like Amazon Redshift, Google BigQuery, and Snowflake have become popular. These solutions offer scalable, cost-effective, and flexible alternatives to traditional on-premises data warehouses.

How Data Warehousing Supports Business Intelligence

A data warehouse acts as the foundation for business intelligence (BI) systems. BI tools, such as Tableau, Power BI, and QlikView, connect directly to the data warehouse, enabling users to query the data and generate insightful reports and visualizations.

For example, an e-commerce company can use its data warehouse to analyze customer behavior, sales trends, and inventory performance. The insights gathered from this analysis can inform marketing campaigns, pricing strategies, and inventory management decisions.

Here are some ways data warehousing drives BI and decision-making:

Customer Insights: By analyzing customer purchase patterns, organizations can better segment their audience and personalize marketing efforts.

Trend Analysis: Historical data allows companies to identify emerging trends, such as seasonal changes in demand or shifts in customer preferences.

Predictive Analytics: By leveraging machine learning models and historical data stored in the data warehouse, companies can forecast future trends, such as sales performance, product demand, and market behavior.

Operational Efficiency: A data warehouse can help identify inefficiencies in business operations, such as bottlenecks in supply chains or underperforming products.

#tach #digital art

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xaltius · 3 months ago

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Business Analytics vs. Data Science: Understanding the Key Differences

In today's data-driven world, terms like "business analytics" and "data science" are often used interchangeably. However, while they share a common goal of extracting insights from data, they are distinct fields with different focuses and methodologies. Let's break down the key differences to help you understand which path might be right for you.

Business Analytics: Focusing on the Present and Past

Business analytics primarily focuses on analyzing historical data to understand past performance and inform current business decisions. It aims to answer questions like:

What happened?

Why did it happen?

What is happening now?

Key characteristics of business analytics:

Descriptive and Diagnostic: It uses techniques like reporting, dashboards, and data visualization to summarize and explain past trends.

Structured Data: It often works with structured data from databases and spreadsheets.

Business Domain Expertise: A strong understanding of the specific business domain is crucial.

Tools: Business analysts typically use tools like Excel, SQL, Tableau, and Power BI.

Focus: Optimizing current business operations and improving efficiency.

Data Science: Predicting the Future and Building Models

Data science, on the other hand, focuses on building predictive models and developing algorithms to forecast future outcomes. It aims to answer questions like:

What will happen?

How can we make it happen?

Key characteristics of data science:

Predictive and Prescriptive: It uses machine learning, statistical modeling, and AI to predict future trends and prescribe optimal actions.

Unstructured and Structured Data: It can handle both structured and unstructured data from various sources.

Technical Proficiency: Strong programming skills (Python, R) and a deep understanding of machine learning algorithms are essential.

Tools: Data scientists use programming languages, machine learning libraries, and big data technologies.

Focus: Developing innovative solutions, building AI-powered products, and driving long-term strategic initiatives.

Key Differences Summarized:

Which Path is Right for You?

Choose Business Analytics if:

You are interested in analyzing past data to improve current business operations.

You have a strong understanding of a specific business domain.

You prefer working with structured data and using visualization tools.

Choose Data Science if:

You are passionate about building predictive models and developing AI-powered solutions.

You have a strong interest in programming and machine learning.

You enjoy working with both structured and unstructured data.

Xaltius Academy's Data Science & AI Course:

If you're leaning towards data science and want to delve into machine learning and AI, Xaltius Academy's Data Science & AI course is an excellent choice. This program equips you with the necessary skills and knowledge to become a proficient data scientist, covering essential topics like:

Python programming

Machine learning algorithms

Data visualization

And much more!

By understanding the distinct roles of business analytics and data science, you can make an informed decision about your career path and leverage the power of data to drive success.

#artificial intelligence #online course #ai #data science #data science course #technology

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oftheunbroken · 5 months ago

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Basic Information:

Character Name: Cyrus Franklin Nickname (s): Russ, Boss Face Claim: Andrew Lincoln Mutation Status: Gen II Birthday: January 22 - Aquarius Sexuality: Bi-Sexual MBTI: ENTJ-A (Commander) Moral Alignment: Chaotic Evil Occupation: Census Overseer Work Sector: Six Affiliation: Leader of the Montell Syndicate 3 positive traits: Meticulous, Adaptable, Captivating 3 negative traits: Callous, Deceitful, Vindictive biography (optional): tbd

( andrew lincoln, 50, cismale, he/him) — Look who it is! If you take a look at our database, you’ll find that CYRUS FRANKLIN is a a/n CENSUS OVERSEER that works in SECTOR 6. According to the file, they’re a mutant with the power of MUTATION NULLIFICATION & LIE DETECTION. That must be why they’re METICULOUS and CALLOUS. If you ask me, they remind me of a venus fly trap closing around its prey,leaving behind a token of ill will, and black opium upon their pillow . They are affiliated with THE MONTELL SYNDICATE AS THEIR LEADER.

Questionnaire:

how do they feel about living in sol city? have they always lived there or did they travel from another settlement?:

Cyrus came to Sol-City from a community in the southern United States called Alexandria as part of an experimental immigration. Citizens from each city signed up to be transferred to the other, in the hope that adding some genetic diversity to each city would help to prevent future mutations. Only 100% human citizens were supposed to be transferred but through his scheming Cyrus found a way to get himself onto the list of those leaving the city. Since arriving in Sol-City Cyrus has found the society here to be more put together than Alexandria. As a result it was harder for him to initially find his footing. He originally worked as a guard to members of the council, using his closeness to gather inside information. but after ten years in the city he has made his way to the top of the one of the most elite crime orgs in Sol, the Montell Syndicate. With a firm position in the cities criminal sector Cyrus decided to retire from guard work and become a census taker for new citizens coming into the city. After five years he is now one of the census overseers and uses his position to gather information on the best and brightest criminals and thieves coming into the city.

do they trust the council’s leadership? why or why not?

Cyrus trusts that he has enough information on the council to have leverage against the members in the event they were to discover his identity. As far as the actual politics of the city go, the council isn’t his main concern.

if they chose their sector and profession, why did they make that choice? if they didn’t, why not? were they happy with their assignment or not?

Cyrus chose to move to doing intake census after ten years as a guard. By that point he had become the leader of the syndicate and needed a freer schedule in order to keep up with his seedy operations. Eventually becoming one of the census overseers has been a boon as the position allows him to keep track of anyone useful coming into the city and gives him plenty of opportunities to black-mail desperate hopefuls into doing his bidding.

what’s one object that they always keep on their person?

A sigil ring. It is the only one of its kind and is the only way to know for certain that a message has come directly from his person.

(mutant only section)

what is your character’s ability (or abilities)?

Lie Detection Mutation Nullification

are they gen i or gen ii?

Gen II

what can your character do? what are their strengths?

Lie Detection: Cyrus can detect whether or not someone is lying to him. When someone has told him a lie, he gets a tingling feeling along the back of his neck. The bigger the lie, the more he can feel it. Mutation Nullification: The power to nullify any mutation. Just being in his presence (within 15 feet) is enough to nullify ones mutation. When within his presence, the mutations nullify, but the nullification is only visible to Cyrus and the individual mutant who has had their mutation nullified (so even if there are 10 mutants in a room, each mutant can only see their individual mutation being nullified.) In order to make the effect semi-permanent, Cyrus needs to physically touch the mutant. Once the mutant has been touched, their nullification will become visible to all and last for a certain period of time as dictated by Cyrus. Cyrus uses both of these gifts as leader of the Montell Syndicate. Lie detection proves useful in garnering information and getting others to do his bidding. The nullification allows him to not only protect himself from dangerous abilities but also grant those who are desperate a gift: time without being a mutant. Time is only gifted in exchange for providing services though rarely he will bestow his gift just because.

what can’t they do? what are their weaknesses?

Lie Detection: It is not necessarily a weakness, but people as a whole have a tendency to lie about everything and so sometimes it is difficult to discern if the lie they are telling involves something important to him, or they’re just lying about what they had for lunch. Mutation Nullification: With semi-permanent nullification he cannot keep the nullification going for longer than 48 hours for one individual. Additionally, the more people he visibility / semi-permanently nullifies the less time each person has. He could nullify ten people at a time, but the effects would likely only last an hour. This type of nullification also takes a significant toll on him. Cyrus constantly needs to be taking in calories and needs twice as much sleep when actively using semi-permanent nullification as it drains his bodies resources severely.

is there anything else you’d like to specify about them?

Cyrus doesn’t consider himself a ‘bad guy’, just a practical one. He does have people that he genuinely cares about and would protect but beyond those select few the people of the city are simply viewed as a means to an end. If he helps them, great. If it doesn’t work out in their favor, he isn’t bothered. As long as those who have value to him both personally and professionally are kept alive anyone else is expendable.

#cyrus.intro #bio #task 001

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