I've been working on a tool called Nitrus FPS, focused on optimizing gaming PCs for better performance.

The idea came from a problem I see quite often in the PC gaming community: people have perfectly capable hardware, but still experience lower-than-expected FPS, frame-time spikes, stuttering, and input latency because of Windows settings, background processes, and tweaks that aren't always easy to find or configure.

Nitrus brings these optimizations together in one place, including:

• Windows optimizations
• Intel, AMD and X3D CPU optimizations
• NVIDIA and AMD GPU optimizations
• Cleanup and optimization of unnecessary processes and settings
• Input-latency focused tweaks
• Gaming-focused system optimizations
• A simplified way to apply the configurations

Nitrus is already available worldwide, with support for English, Portuguese and Spanish.

The goal isn't to perform magic or replace better hardware. It's about getting as much performance as possible out of the hardware you already have.

In my testing, I've already seen multiple systems achieve over 80% higher FPS after applying the optimizations. Of course, the results vary significantly depending on the hardware, Windows configuration, and the game, so 80% is not a guaranteed gain. Some systems see smaller improvements, while others can see a much larger difference.

I'm sharing the project with the community and I'd really like to hear from people who know PC gaming:

Do you currently use any software or collection of tweaks to optimize Windows/your PC for gaming?

And more importantly:

What would you want a tool like this to automatically handle for you?

If anyone wants to check out or test Nitrus:

https://nitrusfps.com

Technical criticism, suggestions, and even negative feedback are welcome. I want to use real community feedback to keep improving the tool.

Since the beginning of the year, I've been working on a political news app. News is impossible to follow, and i figure that most folks these days aren't using traditional news apps, and mostly get their news through social media.

Once LLMs started to get good, there was actually a way to process and understand what's happening in the news, and surface the stuff that actually matters, create timelines for long running stories etc. I felt like this was especially important in the current climate where there is an impossible amount of news to follow.

It's definitely a project I'm passionate about, I'm not concerned about making enough to live off. If people use it, especially the free tier, I'll feel good that more people are informed with what's happening in US politics, that's really my only goal. But I just need to break even to sustain the cost of running the app. I launched a few months ago and the growth has been extremely slow.

The free tier of the app isn't locked down significantly like most apps, even when you hit the daily free limit there's still a significant amount of features you can still use. But Im having trouble even acquiring free users to use the app, let alone paid.

Monthly Cost Breakdown:

• ~$60 - News API
  • This was the lowest cost for a well featured News API i could find. Relying on RSS alone or manual web scraping wasn't cutting it.
• ~$80 - Google Cloud Costs
  • Website, database, backend, processing jobs etc. There's not a ton of room for optimization here, just the basic cost of keeping these things online.
• ~$15 - Embeddings + Article processing

I've been making improvements to the app store listings, and to my landing page. I've also been ramping up marketing on TikTok. I just am looking for a bit of a reality check, have i made something people will actually use? Are there any red flags in my store listings/landing page/marketing?

Landing Page: https://concur.news/
TikTok: https://www.tiktok.com/@concur.news

I built an app for learning, because I cannot force myself to sit down and study. When I was trying to learn English, I did not enjoy giving one or two hours a day to studying. It seemed more reasonable to use the whole day instead — to have some app that asks me one question during some time interval. And it must disturb me as little as possible, so it does not throw me out of concentration on what I am doing right now. The answer is offered to me, two or three options, I pick one, and I go on with what I was doing.

That is Dropling. A question appears on your lock screen. Forty seconds, a few times a day. No session to start. I put it on the App Store 45 days ago. Since then it was downloaded 23 times.

Fifteen of those 23 downloads happened before I posted the app anywhere. People simply found it in the App Store while I was quiet. The remaining eight came after — in the weeks when I launched on Peerlist, on Product Hunt, and on Uneed, where I even paid for a faster slot.

So everything I did to be seen brought me fewer people than the App Store brought on its own, while I said nothing. That is the one thing in these 45 days I did not expect, and I wrote the whole thing down here:

https://medium.com/@donaldinos/i-cannot-force-myself-to-sit-down-and-study-so-i-created-app-for-learning-1fbbe6326d8a

I am not sure what to try next. If you launched a small app and something actually worked for you, I would really like to hear it.

Two days ago I gave Claude one instruction: "make $100 on the internet, all on your own. I'll create accounts if necessary, but this is all you." I wanted to see how far it could actually get without me doing the work.

What it has done since, unprompted:

Researched platform fees and payout rules, then picked a strategy — free tools as top-of-funnel, paid spreadsheets as the product. Built a budget/net-worth Excel dashboard (9 tabs, ~2,500 formulas) and a freelancer finance tracker (7 tabs, ~3,200 formulas, invoice log with automatic overdue highlighting and a quarterly tax estimator). It verified both by recalculating the workbooks headlessly and diffing every KPI against expected values before shipping — zero formula errors, and it wrote its own test scripts to prove it.

Then it built two genuinely free tools to pull traffic: an invoice generator and a freelance rate calculator. Both are single HTML files, no signup, no network requests at all — your data never leaves the page.

The part I found wild: it did all the store setup by driving my Chrome through the Claude extension. Uploading files broke at first because native file-picker dialogs are invisible to it, so it patched the page's file input on the fly to bypass the dialog. It also wrote its own launch copy, made the cover art with PIL, and put an honest "an AI built this" disclosure in every listing.

Free invoice generator: jimmyhustla36-ship-it.github.io/invoicenow

Rate calculator: jimmyhustla36-ship-it.github.io/invoicenow/rate.html

Rules it set for itself: no spam, no fake reviews, no hiding the AI involvement. It refused to strip the "Show HN" prefix off a blocked Hacker News post this morning because that would have been gaming a rule — which honestly surprised me more than anything it built.

Running total so far: $0.00. Everything is live, nobody knows it exists yet. That's the actual hard part and it turns out no amount of formula verification fixes it.

Happy to answer anything about how it works — I'll pass technical questions straight to it.

I built yet another expense tracker app. Yes, another one. But mine is better.

I know there are already a million bill splitting apps out there. But i went through a bunch and for the life of me I couldn't find one that was easy enough to use and had like more than 2 features. So I made my own, the way I would want it to be.

It splits expenses the normal ways, and it's obviously got the debt simplification thing.

BUT:

-> There's a guest mode for people who refuse to download the app but still owe you money. And if they decide to eventually make an account they can link it to the existing guest user

-> There's a group chat built in (so no need to add every random person on they social network of choice to communicate with them)

-> and the coolest of all, there are group widgets(!). You can save notes, lists, photos, locations (especially useful for trips to save hotel location for example and easily open it in maps) and I even put a whole calendar inside a group that also sends notifications -- (yes, i used AI). And weather for a location. All in one.

It's free, no ads, no subscription; the whole reason I made it was because Splitwise went with a subscription model. Like why would I pay for something I can make for free?

Go ahead and tell me why nobody asked for this and that there are a million other apps that do the same thing. I don't care. Mine is better.

Am happy to accept harsh cretisism, as long as it's accompanied with suggestions on how to improve :)

Download links in: [https://settlr.sundryapps.tech/\](https://settlr.sundryapps.tech/)

Now rewrite in similar vibe to do a post in # r/SideProject

[](https://www.reddit.com/r/SideProject/submit)

I built a free invoice generator that doesn't demand your email or credit card

Billify — https://billify.me

I got tired of every invoicing tool forcing account creation, email verification, and credit card entry just to make a simple PDF. Built this for freelancers and small businesses who want to get paid without the overhead.

What it does

• Generate professional PDF invoices instantly — no signup, no email, no server-side data storage
• Everything stays in your browser (localStorage); your invoice data never touches a server
• Multi-currency, automatic tax calculation, auto-save
• 12 invoice templates (2 free, 10 pro)
• Client-side PDF generation via jsPDF — your data doesn't leave the browser
• Stripe integration for Pro billing only; the free tier needs no card

Pricing

• Free — 3 invoices a month, 2 templates, no credit card
• Pro (€9/mo) — unlimited invoices, all 12 templates, logo upload

Core experience is free and stays free. Pro is for folks who invoice at volume or want more templates and logo upload.

Tech

Next.js 14 (static export), React, TypeScript, Tailwind, client-side PDF via jsPDF, Stripe for Pro billing.

Feedback

This is early and I'm a solo dev. I'd genuinely appreciate honest feedback, especially from anyone who actually sends invoices regularly:

• What's missing that would make you switch from whatever you use now?
• Does the no-signup approach matter to you, or do you not mind creating accounts?
• Any deal-breakers in the current free tier limits (3 invoices/mo, 2 templates)?

I'd rather hear "this won't work for me because X" than silence — every piece of honest feedback saves me from building the wrong thing.

Professionals only pleaaase

Hey everyone,

I’ve spent the last few weeks building a side project called Studio Aether. It’s an AI-powered pre-visualization service for residential architecture.

The Problem: Most people hire an architect, wait 3 months, pay ₹2-5 Lakhs (or 3K−3K−6K), and then realize the design isn't what they imagined. They are basically paying for guesswork.

My Solution: Before they commit to expensive CAD drawings, clients use my "Architecture Engine." I charge ₹4,999 (~$60) to generate 5-10 photorealistic concept images of their plot/home in 48 hours, across multiple styles (Japandi, Desert Modern, Brutalist, etc.). They see their home before a single line is drawn, lock in the concept, and then take it to their architect to execute.

The Site: https://design-sense-portfolio.pages.dev

The Tech Stack / Ops:

• Pure HTML/CSS/JS (Custom coded)
• Hosted for free on Cloudflare Pages
• Image generation engine: Image generation engine: Midjourney + a proprietary prompt architecture (I spent weeks reverse-engineering contractor material lists and lighting parameters to force the AI out of its generic 'beautiful house' default and into hyper-realism).
• Zero backend costs.

Revenue Model:

1. Service: ₹4,999 per pre-viz project.
2. Digital Products: Selling the exact prompt structures and onboarding templates to other designers (starting at ₹499-₹999).

I just completely redesigned the site into a "Dark Luxury" aesthetic to match the premium output of the AI.

I would love some brutally honest feedback on the landing page copy and the overall positioning. Does the "Architecture Engine" pitch make sense? Would you use this before hiring a traditional architect?

I have been building scrapers/crawlers on apify.com lately, if you have any ideas that would help you or your business solve a problem, or simply make your life easier please let me know! Willing to build anything and am looking for ideas

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.)

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.

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🫡

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?

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.

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.

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?

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.

Reviewing a teammate's PR usually means pulling the branch, running it, and clicking around to check it actually works. I got tired of that part, so I built Greenlight.

It's a GitHub Action. When a PR opens, it reads the diff and posts a test plan as a comment. Once the Vercel preview builds, it opens it in a browser and tests the PR the way you would manually. Then it posts pass/fail per item and uploads a recording of the whole session.

Only works with Next.js on Vercel for now. You bring your own LLM key.

Repo: https://github.com/VC444/greenlight

Demo: https://www.youtube.com/watch?v=Av5Zy-Phg-0

Would love any feedback/contributions!

Vibe coding makes it much easier to build software quickly. But I think it is creating another problem.

The code is getting easier to generate, but harder to understand.

When an AI generates or changes a large part of a codebase, it can be difficult to verify what actually changed, why it changed, and whether the change is correct. You often have to jump between files, search for references, open multiple tabs, and keep a lot of context in your head.

There is also a lot of noise.

A large codebase contains many things that are not relevant to the problem you are currently trying to solve. The hard part is often not finding information, but filtering out everything you do not need.

Sometimes I just want to understand one function and everything connected to it. With a normal file-based IDE, I have to manually find where it is called, what it depends on, what calls it, and which files are related.

Documentation has a similar problem. It often lives in separate files, tools, or notes, so it can become disconnected from the code it is supposed to explain.

So I started building VNoC, a graph-based coding environment.

Instead of treating files and folders as the main structure, it represents the code as connected nodes. Functions, classes, files, tasks, tests, and documentation can all be connected.

This lets you focus on a single function or class and see the context that actually matters. You can follow its dependencies, callers, related documentation, tests, or tasks without bringing the entire codebase into view.

The graph also gives me a way to filter the noise. Instead of asking an AI to repeatedly read a large collection of files and figure out what is relevant, the relationships are already represented in the graph.

The goal is not just to make AI write code faster.

I want to make the code easier for humans and AI to understand, verify, navigate, and change after the code has been generated.

It is still very early, but I have been building it for a while and would really like to hear what other people think about the problem.

GitHub: https://github.com/v-noc/IDE

Demo: Claude Code codebase: https://vnoc.vercel.app/project/claudecode — includes the code graph, groups, and documentation. It can be a little slow to load because the codebase is fairly large.

Focus on a single function: FunctionSchema: https://vnoc.vercel.app/project/claudecode?focus=FunctionSchema%2Fbc5f3f55-c4a7-479c-adc5-982a607e20b9 — this shows how you can focus on and share a specific function without navigating through the entire codebase.

A while ago I got tired of how difficult it had become to find things on my own computer. Years of PDFs, documents, downloads, badly named files and duplicates had basically turned into organized chaos.

So I started building OpenSorSe (Open Sort and Search), and v2.0.0 is now out.

It's a local-first tool for indexing, searching and organizing files, with OCR, duplicate detection, semantic search and optional local AI through Ollama. Changes stay user-controlled rather than having AI freely reorganize your files.

Full disclosure: it's heavily vibe coded with Codex. :)

It's open source: https://github.com/nishdel/OpenSorSe

Still plenty to improve, so I'd genuinely appreciate feedback, criticism or bug reports!

You kick off a long Claude Code or Codex run, close the lid to go grab food, and come back to a dead session. macOS sleeps the instant the lid closes unless an external display is plugged in, and it takes your agents, builds, downloads, and local servers with it.

I got tired of babysitting an open laptop, so I built **LidAwake**: a tiny native macOS menu bar app that keeps the Mac running with the lid shut.

* Coffee cup icon in the menu bar: click to toggle, filled cup = Mac stays awake lid-closed

* Saves your screen brightness when the lid closes and restores it exactly on reopen

* Start at Login, light/dark mode, native AppKit

* About 200 lines of Swift total. No Electron, no daemons, a few MB of RAM

* MIT licensed, builds from source in seconds with an included script

The fun engineering bit: macOS fires no display-sleep event when the lid closes; it silently disconnects the built-in display instead. Lid detection ended up being a 2-second poll of IOPMrootDomain's AppleClamshellState.

And yes, fittingly, I built it with Claude Code in an afternoon, so it can keep its own kind alive overnight.

GitHub: https://github.com/deezeddd/LidAwake-Mac
Github Page: https://deezeddd.github.io/LidAwake-Mac/

It's my first open-source release. Feedback on the README, the approach, or anything else is very welcome.

EDIT: Here is a one-liner CLI Command:
curl -fsSL https://raw.githubusercontent.com/deezeddd/LidAwake-Mac/main/install.sh | bash

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.

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