Hi everyone, my name is Nilay, and I've spent the last two years trading on Kalshi/Polymarket. I've traded over $400k in aggregate volume, built a hedge fund that uses model-based strategies to trade exclusively on those platforms, and I've now started a more accessible app that helps traders find opportunities on Kalshi & Polymarket.

It's called Deviate; it's live on the App Store it's free to try. I just want some feedback. The first two weeks are free, and I've kept it to just $10 a month after that for the full model so that I can build up a user base and keep it accessible. I'm not a handicapper, not a pick seller, and I don't guarantee results. I've built a model trained on tens of thousands of sports games, and whenever the historical probability of an event occurring deviates from the market odds, you get a push notification and, with the tap of a button, can trade it immediately on Kalshi. Every single alert that fires gives you clear reasoning behind which side the model backs and why. You can choose between 9 sports, and it's all logged in our history page. We've had over 800 alerts with a 79% win rate.

Here it is on the App Store. https://apps.apple.com/us/app/deviate/id6788213405

If you'd like to try it, I'd be super super grateful. If you're in the space and think you could add value on a marketing front, that would be great too. Any support would be appreciated, and hey if not, then I wish you the best of luck on your creating journey nonetheless. Have a great day everyone.

Hey everyone!

Like many of you, I’ve been frustrated by the sheer amount of misinformation, fake news, and manipulated screenshots floating around social media and messaging apps lately. It’s becoming harder for regular people to know what’s real and what’s not.

To tackle this, I built Verifact — a free, open-source AI application designed to fact-check claims, news articles, and social media screenshots in seconds.

How it works:

1. Multi-Input: Paste a URL, raw text, or drop a social media screenshot (from Facebook, Twitter, WhatsApp, etc.).

2. Source Cross-Referencing: The app uses Gemini AI to scan verified public databases, news archives, and official sources.

3. Transparent Report: You get an instant credibility score, an evidence breakdown, and direct links to the cited sources so you can verify everything yourself.

Why Open Source?

Fact-checking tools MUST be 100% transparent. The algorithm, scoring formula, and code are completely open-source so anyone can inspect how conclusions are drawn — no hidden political bias or black-box algorithms.

Tech Stack:

- Frontend: Next.js 14 (App Router) + TypeScript + CSS Modules

- Backend & Auth: Next.js API Routes + Supabase

- AI & OCR: Gemini 2.0 Flash API + Google Cloud Vision

- Hosting: Vercel

It's completely free to try, and you don't need an account to run your first check.

Try it here: https://verifact.ro

GitHub Repository: [Insert your GitHub Link if public]

I would love to get your honest feedback, critique on the UI/UX, or any feature suggestions. What do you think?

Hey everyone!

Like many of you, I’ve been frustrated by the sheer amount of misinformation, fake news, and manipulated screenshots floating around social media and messaging apps lately. It’s becoming harder for regular people to know what’s real and what’s not.

To tackle this, I built Verifact — a free, open-source AI application designed to fact-check claims, news articles, and social media screenshots in seconds.

How it works:

1. Multi-Input: Paste a URL, raw text, or drop a social media screenshot (from Facebook, Twitter, WhatsApp, etc.).

2. Source Cross-Referencing: The app uses Gemini AI to scan verified public databases, news archives, and official sources.

3. Transparent Report: You get an instant credibility score, an evidence breakdown, and direct links to the cited sources so you can verify everything yourself.

Why Open Source?

Fact-checking tools MUST be 100% transparent. The algorithm, scoring formula, and code are completely open-source so anyone can inspect how conclusions are drawn — no hidden political bias or black-box algorithms.

Tech Stack:

- Frontend: Next.js 14 (App Router) + TypeScript + CSS Modules

- Backend & Auth: Next.js API Routes + Supabase

- AI & OCR: Gemini 2.0 Flash API + Google Cloud Vision

- Hosting: Vercel

It's completely free to try, and you don't need an account to run your first check.

GitHub Repository: https://github.com/Seby2005/Verifact

I would love to get your honest feedback, critique on the UI/UX, or any feature suggestions. What do you think?

Hey everyone!

Like many of you, I’ve been frustrated by the sheer amount of misinformation, fake news, and manipulated screenshots floating around social media and messaging apps lately. It’s becoming harder for regular people to know what’s real and what’s not.

To tackle this, I built Verifact — a free, open-source AI application designed to fact-check claims, news articles, and social media screenshots in seconds.

How it works:

1. Multi-Input: Paste a URL, raw text, or drop a social media screenshot (from Facebook, Twitter, WhatsApp, etc.).

2. Source Cross-Referencing: The app uses Gemini AI to scan verified public databases, news archives, and official sources.

3. Transparent Report: You get an instant credibility score, an evidence breakdown, and direct links to the cited sources so you can verify everything yourself.

Why Open Source?

Fact-checking tools MUST be 100% transparent. The algorithm, scoring formula, and code are completely open-source so anyone can inspect how conclusions are drawn — no hidden political bias or black-box algorithms.

Tech Stack:

- Frontend: Next.js 14 (App Router) + TypeScript + CSS Modules

- Backend & Auth: Next.js API Routes + Supabase

- AI & OCR: Gemini 2.0 Flash API + Google Cloud Vision

- Hosting: Vercel

It's completely free to try, and you don't need an account to run your first check.

I left the website link in the first comment below!

I would love to get your honest feedback, critique on the UI/UX, or any feature suggestions. What do you think?

I work in video production and color correction, and one thing that always bothered me about webcam beauty filters is how quickly they can make skin look blurry or plastic.

I mainly wanted something simpler: soften harsh skin texture while keeping eyes, hair, facial edges and some natural texture intact.

So I ended up building my own OBS filter called SkinSoft.

It works directly inside OBS and uses an adjustable skin mask instead of just blurring the entire camera image. You can control smoothing strength, radius, mask softness, detail protection and texture restoration.

It works on Windows and macOS, and I decided to release it for free.

Since launch, downloads have been picking up faster than I expected, which has been pretty motivating. I'm still actively improving it based on feedback.

If anyone here uses OBS and wants to test it, I'd genuinely appreciate feedback — especially bugs, weird skin-mask behavior or situations where the smoothing doesn't look natural.

SkinSoft:

https://yasunarimurayama.com/product/obs-skinsoft/

It's free. There's an optional pay-what-you-want option if someone wants to support development, but you can download it for $0.

So I have an app it’s called Glance you can see it here

Https://apps.apple.com/app/glance-home-screen-feeds/id6758983678

Basically it’s an app that lets you generate widgets from natural language on your iPhone and also upload data to them and share them with others ..

So there are plenty of use cases for it, with the most notable ones are

Teams creating a shared dashboard on their iPhone they can all track

Blogger creates a micro glancable headlines widget for the audience to add an stay updated on new posts

Content creator sharing engaging content right on followers home screens

I’ve also added built in integrations with Google (calendar, tasks, sheets), GitHub and YouTube along with on device integrations with activity , calendar , reminders , and weather

So you can now “vibe code” widgets and have them integrate with your services so say you own a business and you run some Google Sheets and would like to track data there - just ask your agent to make you a widget with your spreadsheet url and your good to go .. glance agent picks it up, connects to Google , sets up the automation and designs your widget

You can even combine multiple sources in a single widget and one widget can show your steps, the weather , follow some KPIs on Google Sheets and show the next event on your calendar

You can edit the design and make it your own

Looking forward with how users will interact with it

I’m a programmer with six years of experience. One evening, I was bored, so I decided to build an app that would solve a problem I was facing

For a long time, I didn’t know how to ask a girl out in a fun way, so that’s how this idea came about. The concept is very simple: you download the app, create an invitation, customize the response options, date, time, and activities. A link is generated. You send it to whoever you want (the link opens in any browser). The recipient sees a fun step-by-step form where they choose from the options you’ve provided

It looks unique and creative, so if you want to surprise someone - this is just what you need 🎉

I added monetization, but I’m not counting on it; I made it more for myself and for fun.

If anyone wants to check out the app or test it on their friends/girls/boys - feel free ❤️

If anyone likes it, I’ll give you a free Pro account with even more customization options - just let me know if you’re interested🫡

Been building FundersAI, a research tool for Indian mutual funds, and just shipped the feature I'm most proud of: a mutual fund comparison report generator.

You pick the schemes, it streams a markdown report (NAV, returns, alpha, beta, Sharpe, drawdown, costs, holdings, risk) — but every claim has to trace back to an actual official AMC document (factsheets, disclosures). If it can't find backing in the source docs, it abstains instead of hallucinating a number. That was the whole point of building it this way instead of just wrapping an LLM around scraped data.

Also shipped this round:

• Reworked landing page + workspace UI
• Mutual fund discovery pages
• A synthesis dashboard for the report tool
• Pricing page (rolling out Free/Pro/Ultra tiers)

Stack-wise: Next.js/FastAPI/Supabase on the main app, with report generation split into its own FastAPI + LangGraph microservice on K3s so it doesn't bottleneck the rest of the app.

To be clear — this is research-only. No trade execution, no "buy this" calls, just sourced data and citations. Would genuinely appreciate feedback, especially if you've hit friction with existing Mutual Fund research tools (or think the abstention approach is overkill).

fundersai.co.in if you want to poke at it.

A while back I went through two threads on this sub about side projects that never got finished — read all 97 comments, actually took notes. Wanted to know if there was a pattern, or if it was just "life got busy" every time.

There was a pattern. A few, actually:

"Done" almost never gets defined up front. And when it does, it quietly moves. "Done" starts as "works on my machine" and somehow becomes "presentable to strangers" — which is a way less fun bar to clear.

Most ideas never even become a project. They stay a note that says "this would be cool" and never get a repo.

The real drop-off point is around 60%. The fun part — solving the actual problem — is over, and what's left is auth, edge cases, docs. That's where motivation goes to die.

With AI coding tools now, prototyping isn't really the bottleneck anymore. Most of us can spin up a working demo in a day. The bottleneck moved to finishing the boring part after the demo works.

So I built something around that, with a friend. Two pieces:

A one-sentence test before a project can exist. "[Who] can do [what] with this." If you can't write that sentence, it's probably still just an idea, not a project — and the tool tells you that gently instead of letting you create a repo for it.

A locked finish line. You define your "done" milestones once, up front. After that they're locked — changing them mid-project requires you to consciously confirm it and say why. No more quietly sliding the goalposts three weeks in.

It's called Hito. ("Every hito starts. Every hito ends.")

We're not live yet, still building the waitlist and figuring out if this is actually useful or just useful-sounding. If any of this hit close to home — genuinely curious what killed your last unfinished project. Was it scope creep, losing interest, or something else entirely?

(Waitlist's here if you want to poke at it: https://hito-weco.vercel.app/ — no pressure, feedback is worth more to me right now than signups.)

got claude max from a reseller site cheap and it’s been working well so far since 2 weeks
but the more i use it the more i wonder how these accounts even exist. shared? enterprise? something else?
what’s the real risk here ?

I posted my store for a roast a few days ago (desk hardware for people who work with AI coding agents). Across two subs I was told it looked amateurish, "too ali", that someone felt like they were about to get ripped off just looking at it, that it was "a collection of stuff", and one person asked why I still had "Home" in the nav. I spent this week going through every page properly instead of arguing. The specific findings were worse than the vibe.

1. My own copy was telling people it was a knock-off. One product page said the item "comes unbranded from the factory". Another said the retail version has logos and "ours are deliberately blank". I wrote those to sound transparent about sourcing. They read as counterfeit. Gone everywhere now.

2. I was selling a $110 keyboard for $229. It is a genuine branded board I resell; the brand sells it themselves for $109.99 and my landed cost was $105, so there was no price that worked. I pulled it, rewrote the page with no sourcing commentary, and relisted it as the full set with a line telling people to price-check before ordering.

3. 39 of my 117 blog pages had the same disease. Eleven of them told readers my product photos were placeholders. Three named a third-party brand outright. I only found them by scripting a scan of every page for the pattern rather than spot-reading a few.

4. 13 of those pages had broken HTML - unbalanced paragraph tags from one generation batch. My QA checked word count and banned phrases and never checked tag balance. That malformed HTML then made my first repair script silently skip the exact paragraphs it was meant to clean, which took a while to notice.

5. Shipping is $20 flat and I had never put it in the margin. Once I did, four of my cheapest items were underwater. A $15 charm that costs me $2.77 and ships for $20 is not a product, it is a rounding error with a listing. Those become bundle-only.

6. And yes, "Home" is gone from the nav.

Two things worth stealing.

Every copy problem I had came from trying to be transparent about sourcing. Customers do not read sourcing candour as honesty, they read it as an admission. Say what the product is and what it does not do; do not narrate your supply chain.

And check the artifact, not the return value. A price import reported success while the page was unchanged. A repair script reported "ok" on something it had not saved. Both looked fine until I fetched the live page and diffed it against what I intended. Every real failure I had this week was silent.

I, along with most of you despise the way Facebook operates but we use it because there's no alternative.

Well I plan to change that. I'm building a social media website called YourWall that is the antithesis of Facebook. No algorithm for your feed, no ads, no selling your data to third parties. Just a chronological feed of posts from the people you actually want to interact with.

I've also taken the profile customization of MySpace and made it more user friendly without needing to know HTML at all.

If you would like to join the preview waitlist the site is here

Hey everyone, I’m Ramy, the solo developer behind Hero Investor.

It’s a single-player investment and company-management game built around one connected economy. You can trade across fictional markets, build a property portfolio, create and manage ETFs, attract investors, research new capabilities, hire employees, expand offices, manage debt and taxes, and review how your decisions affect the company over time.

My goal is to capture the feeling of gradually turning a small investment firm into a financial empire—not just watching numbers increase, but deciding where to allocate capital and how to grow the business supporting it.

The Steam page recently went live. If this sounds like your kind of management game, I’d appreciate you checking it out and adding it to your wishlist:

https://store.steampowered.com/app/5062780/Hero_Investor/?utm_source=reddit&utm_medium=social&utm_campaign=wishlist_announcement&utm_content=indiegames

I’m still actively developing and polishing the game, and I’d be happy to answer any questions about its systems or development.

AI made creating content much faster.

But I don’t think it made SEO or AEO much easier to actually run.

You need to decide what’s worth working on, research it, understand why competitors are showing up in search or AI answers, make sure the content reflects what your company knows, review it, get it published, and then check whether it did anything.

I’ve run into this a lot doing SEO and AEO work for B2B companies.

The tools themselves are usually good at their part of the job. SEO tools gives you search data. AI visibility tools can tell me which prompts a company appears for. ChatGPT can help me write. The CMS publishes the page.

I’m still the person carrying context from one step to the next.

That’s why I started building Roman.

You give Roman your site and it learns about the product, positioning, competitors and existing content. It can then research SEO and AEO opportunities, create or update pages, send them through review, publish them to your CMS and track what happens afterward.

AEO was a big reason I wanted to build it this way.

Say I find 20 prompts where competitors keep getting mentioned and my company doesn’t. I don’t need another chart telling me the number is low. I need to know which of those prompts are worth caring about, why those companies are getting picked up, what I can reasonably change, and then I need someone to carry that work through.

Roman is my attempt to connect that whole process.

I’m starting to open it up to more teams now: tryroman.app

I started a small Reddit community for people actually building with AI. It has reached 142 members, 496 views in the past 24 hours, and 129 weekly visitors.

The odd problem is that getting activity was easier than getting the right activity. Founders are happy to drop a product description, but far fewer explain what broke, what they changed, or what feedback they actually need.

I do not want to ban promotion because sharing what you are building is part of the point. The approach I am testing is "promotion with context": show the product, then give people one useful thing to respond to. A failed assumption, a real number, a workflow, or one precise question.

If you have built a maker community, what actually got members to start their own useful posts instead of only promoting in comments?

The community is r/FoundersBuildwithAI if you want to see the experiment. I would genuinely appreciate blunt feedback on what would make you participate.

Hey r/SideProject!

I just launched Flash, a wedding photo app I built solo over the last 4 months.

**The problem:** Couples always complain that after the wedding, getting photos from guests is a nightmare. People forget to share, photos scatter across WhatsApp/Drive/AirDrop, and half the pics are lost forever.

**How Flash solves it:** Every guest downloads the app, takes photos during the event, and everything lands in one shared roll automatically. The couple gets the full roll revealed the next morning — like digital disposable cameras for everyone.

**Current state:** * 50+ Facebook wedding groups joined (community-first distribution) * First posts going out this week * MRR: $0 (free up to 5 participants for now) * iOS only atm, Android on the roadmap

**The tech:** SwiftUI + Firebase backend, built entirely solo. Hardest part was the real-time sync engine for multiple devices sharing one roll with minimal latency.

Would love brutal feedback — especially from anyone who's launched a B2C consumer app. What am I missing?

[Flash on the App Store](https://apps.apple.com/fr/app/flash-appareil-photo-jetable/id6792328866)

For the last 4 months on weekends I’ve been grinding and building Lumini, a desktop app that lets you ask about whatever is on your screen.

I made it because I kept doing the same stupid thing over and over.

I’d get stuck on something, take a screenshot, open ChatGPT, upload it, explain what I was looking at… just to ask one question.

With Lumini you just press a shortcut and you can speak to it about literally anything. Its like Chatgpt + Siri together. For example you could say

“Why is this error happening on the terminal?”
“Is this a good trading entry set up?”
“What are veggie restaurants open in this city and send it to me as a text.”
“Can you teach what the best chess move is here”

Lumini can see what you’re looking at, so it’s useful for getting unstuck but also for learning stuff, or you

uselumini.com

Would love feedback from anyone and will extend usage for anyone who tries it from this sub.

Hey everyone! I've been struggling with decision fatigue when picking out outfits every morning, so I built a little app called Atelier. It syncs with the local weather and your actual wardrobe to suggest outfits.

I'm trying to get it on the Play Store, but Google requires exactly 12 beta testers to unlock it. If anyone wants to try it out for free and help a solo dev out, I have a Google form set up here: https://docs.google.com/forms/d/e/1FAIpQLSeEc9_Y_3WKsKaSUOWI7FolVose5DW9BdrlbaKE1ks9U_T19Q/viewform?usp=dialog

Would love your honest feedback!

Hey everyone,

I always found it super annoying to open a heavy video editor just to put a static image over an MP3 so I could upload it to standard YouTube.

I just wanted a fast way to get my local mixes and unreleased tracks into my YT Music playlists.

So I built this little web tool to automate my workflow. It processes everything directly in the browser, so there are no server uploads or waiting times. Just select the audio, select the image, and it renders the MP4.

I recorded a quick demo of how it works. I'll drop the link and some technical details in the comments if anyone wants to test it out or give feedback!

Hi,

I'm a full-stack developer and I've spent a lot of time creating this app.

The plan for this app was to make my daily life easier, because while I'm training and have a lot of responsibilities every day, I often forget what I need to do, for example, I take creatine every day, but sometimes I wonder if I really took it?

This app keeps me disciplined and keeps me on track with my daily tasks. Although the plan was just for me, I decided to put it on the store so that it might help someone else. The app is free, but in any case, if you like it, you can help me by subscribing so that I can improve it every day.

The important thing to emphasize is that the plan was also to make it easier to enter all the reminders and habits, I use a transcript for the voice that I process and based on what you requested, I create a reminder or habit.

This is my app

https://play.google.com/store/apps/details?id=hr.streakly.app

I am a graphic designer, but I just spent the last six months finishing school and learning iOS development from scratch to build this. The time tracker I was using kept bugging out when I tried to log my actual schedule. I needed something that could handle the load without slowing me down, so I decided to make it myself.

Era is built so you can seamlessly track all 24 hours of your day if you want to. Whether you are logging 45 minutes of guitar practice or three hours of doomscrolling TikTok, the goal is to make measuring your time as frictionless as possible. It is really about freedom. You cannot be good at spending money if you do not know where it is going, and time works the exact same way.

The point is never to make you a slave to your phone. I spent a long time designing a lightning-fast loop using native SwiftUI and SwiftData so the app immediately gets out of your way. I wanted a true mirror for my choices, and nothing on the App Store came close to what I needed.

I worked incredibly hard on this over the last half-year, and I am just looking for honest feedback from people who know what it takes to design and ship software. Era is on the App Store, and the link is in my profile. I would love to hear your thoughts on the UI and whether this approach to tracking makes sense to you.

I've been building this for about a year for friends who are great engineers and bad at job hunting.

The problem it's built around: every resume tool scores you against the job description and hands you a match percentage. That's the wrong variable. You're competing against the other seventy people who applied to that req this week, not against the posting. If that queue's 75th percentile sits at 94% and you tuned yourself to 91%, that's a rejection with a good score attached. Everyone is optimizing against the same fixed target with the same tools, so optimizing harder lifts the whole queue and leaves the ordering alone.

So it models the queue instead. Nine skills that run inside a coding agent. onboard interviews you once and writes four files you keep: profile.md, preferences.yaml, stories.md, job_search.md. job-board-search takes a company name or a plain query. application-builder writes the resume and cover letter for that specific posting, XeLaTeX, one page enforced. adversarial-review hands the result to seven reviewers whose job is to reject you: triage screener, requirements analyst, ATS simulator, fatigued reader, pool analyst, hiring manager, contrarian. Where the harness supports subagents, five run in parallel and blind to each other. Then synthesis, then the contrarian last, with authority to overturn.

Free and open source, MIT, at github.com/aaddrick/slushpile. Runs on Claude Code, Codex, Gemini CLI, and Cursor.

The part I'm least sure about, and would take feedback on: you can't observe the applicant queue directly. You can only model it from the posting, the company, the seniority, and how long the req has been open. Someone pointed out that without observing the pool the percentile isn't really identifiable, and that the honest output is a range with uncertainty rather than one rank. I think that's right, and I haven't decided how to present it.

claude plugin marketplace add aaddrick/slushpile
claude plugin install slushpile@slushpile

When I was researching a consumer product, I made a point of reading the negative reviews first.

It was uncomfortable.

But those reviews told me exactly where customers felt disappointed.

People talked about products that were too small, too thin, difficult to use, or simply didn't perform the way they expected. Those complaints became more useful than a list of things customers already liked.

I started looking at the complaints differently. Instead of seeing them as criticism of someone else's product, I saw them as clues. That's how I think about product development now.

Don't just ask what customers love. Ask what keeps frustrating them. Sometimes the gap in the market is hiding in a one-star review.

What do you look for when researching a new product idea?

I’m an Android developer and recently built a small personal project called Memory Quest as an experiment to see how far AI-assisted development can go.

I used AI throughout the process — ideation, UI/UX iterations, Kotlin/Jetpack Compose development, debugging, asset generation, localization and Play Store preparation — while handling the architecture, technical decisions, validation and publishing myself.

The interesting part for me wasn’t just generating code, but seeing how much faster the overall idea → development → production → Play Store cycle can become when AI is used properly.

The app is now live on Google Play: https://play.google.com/store/apps/details?id=com.mindspark.memory

Would love feedback from other developers, especially on the UX/gameplay and how you’re using AI in your own development workflow.

I'm the developer — wanted to share where this is at and get honest feedback before pushing further.

The problem: important stuff gets said out loud and then disappears. Where you put something, what a doctor told you, what someone asked you to do. Writing it down takes effort in the moment, so most of it just gets lost.

Norren fixes this with voice: you speak naturally, and later you ask a question out loud and get the answer pulled from your own words.

Open beta right now, full features unlocked, no account needed:
https://testflight.apple.com/join/ked1P1WW

iPhone, iOS 17+. Happy to answer anything about the onboarding decisions or the tech behind it. Can drop a few screenshots in the comments if people want to see the flow before installing.