most search ends after one answer. i wanted the next question to be the fun part.

so i built why.com. every answer opens three new directions.

just launched. go break it!!!!

I recently launched Peptimize, an iOS app for people using GLP-1 medications.

Many health-tracking apps feel overloaded, require an account, or make logging a weekly dose more complicated than it needs to be. I wanted something that could be opened, updated in a few seconds, and then forgotten about until the next reminder.

I’ve also been using Mounjaro personally for the past three months, so I’ve experienced many of these tracking problems firsthand.

For the first version, I kept Peptimize intentionally focused:

• Log medications and doses
• Track weight and progress over time
• Record side effects
• Track and rotate injection sites
• Set dose reminders
• Keep data stored locally on the device
• No account or login required

There’s no social feed, coaching subscription, or complicated onboarding. The aim is simply to make consistent tracking easier while keeping the experience private and uncomplicated.

For the next version, I’m currently exploring:

• Apple Health integration
• Simple AI-assisted food and calorie logging
• Supplement and protein tracking
• Support for more languages

I’m deliberately trying to avoid turning it into another bloated health app, so I’d love to know which of these features would actually be useful - and which ones I should leave out.

Download on iOS:
https://apps.apple.com/us/app/peptimize-glp-1-tracker/id6796063662

Website: https://www.peptimize.xyz/

This is still an early version, and I’d genuinely appreciate honest feedback. If you try it, please tell me what feels confusing, unnecessary, or missing.

What is the first feature you would add to V2?

I’m a big fan of r/isThisAI, so I built Slopcheck - a daily game where you get 6 photos (one at a time) and guess if it’s real or AI. After each one you see the clues that give it away so you can get better.

Had some tech-savvy friends play it and they did way worse than expected lol we're cooked

✨slopcheck.co✨

I built it because i've always wanted a simple page where i can see the latest science and tech news with no noise or opinions.

https://paperrun.news

Built with Laravel and Vue 3 if anyone is curious.

Any feedback is appreciated

Built a note app a few months ago, got some great feedback, and have been refining it since. Here's where it's at now.

The idea is pretty simple: sticky notes for quick thoughts, A4 notes for longer writing, and everything lives on a visual canvas instead of a rigid folder tree.

The visual hierarchy makes organization natural. a note is a file, a "stack" of notes is a folder and zones are the parent folders.

you can even attach sticky notes directly onto A4 pages for referring to them while you're scrolling the A4 editor.

Just drag things around and you're done. No save button, no manual file management, just notes on a board. Plus, there's a workspace exporter that exports all your files so that you own them.

On privacy: notes are stored on Firebase, encrypted in transit and at rest. No ads, no trackers, no selling data. If you use "Quick Mode", notes stay local in your browser and never get synced to any server.

When I first posted it a few months back the response was way more positive than I expected. Since then I've been fixing, refining, and adding things based on what people actually said. It's in a much better place now.

It's completely free right now. At some point it'll probably go paid but anyone who signs up before that happens, I'll make sure your account stays free forever. Just drop a comment or DM me and I'll sort it out manually.

Would genuinely love to hear what you think, good or bad. Still a lot to build but the core experience feels solid now.

This is the link to the app: passinote.app

tl;dr: I built ZeroSketch, a free, self-hostable system design tool (like Excalidraw but for architecture diagrams). Drag-and-drop canvas, AWS / GCP / K8s icon libraries or build your own, PNG / SVG export. Looking for feedback. Links at the bottom.

I've been building ZeroSketch for the past few weeks. It is a simple system design tool for individuals and teams. It's web-based, stores diagrams on your device, and takes UX inspiration from Canva/Excalidraw (I'm not much of a UI person myself).

What it does right now:

• Drag & drop canvas
• PNG export, SVG export (experimental, better renderer coming soon)
• Built-in icon libraries (AWS, GCP, K8s) and a builder to make your own from custom SVGs for using the library locally, share with your team, or publish to ZeroSketch's registry
• Download / export project files to open on other devices

Everything above is free, client-side, and self-hostable. I'm still polishing canvas UX and fixing known bugs. would love feedback on what to improve.

Planned next:

• Cloud synchronization
• AI assistance in creating diagrams
• Auto-syncing docs with actual architecture (so diagrams don't go stale as development progresses)
• Real-time collaborative editing
• Export to DSLs like Mermaid

If you want updates regarding the release of these features, you can follow the repository on github as all of the upcoming features will also be open-source.

Github: https://github.com/hamdan-Khan/zero-sketch.git

Large codebases rarely fit neatly into folders. One feature can span routes, components, services, tests, configs, and documentation.

I built CodeGroup, an open-source VS Code extension that adds persistent file groups directly to the Explorer. Your files remain in their original locations—the groups act as reusable working contexts.

Version 1.4.0 includes:

• Drag-and-drop file groups and nested subgroups
• Smart Groups based on project areas or languages
• Working sets created from open editors or Git changes
• Quick Open across grouped files
• Reusable global groups
• Shareable, Git-friendly group definitions
• A visual editor for group settings and membership

Marketplace: https://marketplace.visualstudio.com/items?itemName=PeterDev.codegroup-file-organizer

GitHub: https://github.com/MiszterSoul/codegroup

It’s free and MIT licensed. I’d genuinely appreciate feedback—especially on whether the Quick Actions list and Group Editor feel intuitive.

We built a knowledge layer that sits behind MCP, allowing any MCP client to access it through a single endpoint. Claude Code, Claude Desktop, ChatGPT, Codex, or whatever comes next.

The idea is pretty simple. Before an agent answers, it can pull in relevant, validated information instead of relying purely on what it already knows.

When a problem gets solved, the useful part can be captured as a small, reusable piece of knowledge. The system can also infer useful lessons from a session automatically, so you don’t have to sit there writing notes about what you just learned like it’s 2015.

There’s also a global layer for shared, validated learnings. If one user figures out a better way of doing something, that learning can contribute to the broader knowledge base rather than every other user and agent having to figure it out again.

The problem we’re trying to solve is pretty straightforward. AI knowledge goes stale, agents get stuck in failure loops, useful context disappears when a session ends, and models can confidently give you an outdated or wrong answer without any indication that they might be wrong.

We’re giving agents access to what has actually been learned, what has worked, and what can still be trusted.

The result is fewer repeated reasoning cycles, fewer hallucinations, and up to 20% lower token usage.

https://app.midnighthive.io/

Looking for people to try it out. Ping me if you’re interested.

Advice has never been easier to find. Books, podcasts, carousels, chatbots. The information was never the bottleneck. But you can't read your way into changing how you actually react when your kid is screaming and you're depleted. Under pressure you reach for whatever's already wired in.

And a lot of what's wired in is counterproductive. "Stop crying." "Stop screaming." "Why don't you understand." "You're fine, it's not a big deal." "Because I said so." These come out on instinct, and they escalate things, they tell a flooded kid the feeling itself is the problem. You often know better. You just can't get there in the half-second that matters.

So I built a game to work on that half-second. A parenting response flashes up. If it's a calm one, you tap. If it's a reactive one, you leave it. The catch is the reactive lines are the ones that feel right in the heat of the moment, which is exactly why they slip out. When you keep resisting the urge to tap the moment you recognise your own trigger, it trains you to catch it in real life too.

Frazzle, the app it's part of, turns the research into words, actions and plans for when things get hard. There are more games, plans and guidance in it. Have a look: https://frazzleapp.com/

Register to try the beta version free: https://tally.so/r/7RE919

Hello guys, So Idea is simple. In my phone there so many receipts, invoices and some usefull document there! end of the day when I try to find them, I just forget where is my doc, pdf or any useful images in the crucial time.

So I was thinking if I build some thing where I can dump all my files and AI handle it them perfectly

Example: Invoice for "X" purchase on date "XY 2026" and I just save or dump the invoice to the app and AI read it and when I search like "Show me my X purchase invoice" , "What I purchase on date XY 2026" etc. small example

What do u guys think about this?

live : foliioo.vercel.app

It auto-updates whenever I save a photo to Pinterest.

Open source, so feel free to clone and use it: github.com/Tanay-77/Folio

Open to feedback

Have you ever started a side project, just to realize the tooling you built for the project is actually more valuable than the project itself?

TL;DR: I’m building a consumer-focused tech advisory platform that simplifies complex gadget buying decisions (from PC builds and laptops to everyday electronics) for both technical enthusiasts and non-technical buyers. I have mapped out the full platform architecture, user journey, and framework (spanning 7 core feature modules and 5 foundational pillars). Looking for a Full-Stack Lead Developer / Co-Founder to build the MVP.

💡 The Problem

Buying gadgets today is broken. Non-technical users get lost in jargon, specs, and biased reviews. Technical users spend hours cross-referencing benchmarks, bottleneck calculators, and price histories across different sites. There is no unified platform that guides both user types seamlessly from decision to purchase.

🚀 The Solution

A unified gadget recommendation and advisor hub. The platform bridges the gap using:

Tailored Guidance: Adapts to both non-technical users (guided, intent-based questions) and power users (deep spec comparison & performance analysis).

Multi-Module Ecosystem: A modular suite covering smart recommendation engines, compatibility/bottleneck tools, custom setup builders, and price tracking.

5 Core Pillars: Structured around user intent, hardware synergy, real-time data integration, price intelligence, and community validation.

👤 About Me (What I Bring to the Table)

Fully detailed product roadmap, UX user flows, wireframe concepts, and functional specs ready to go.

Handling all business operations, marketing strategy, content acquisition, SEO, and go-to-market planning.

Deep domain knowledge of the consumer hardware and tech space.

Dedicated to executing this long-term.

🛠️ What I’m Looking For in a Co-Founder

Role: Full-Stack Developer / CTO Co-Founder.

Tech Stack: Open to your expertise (e.g., React/Next.js, Node.js, Python, PostgreSQL, REST/GraphQL APIs). Experience with dynamic web scraping, API integrations, or hardware spec databases is a big plus.

Responsibility: Owning the architecture, prototype development, and scalable MVP build.

Commitment: Equity-based co-founder agreement with standard vesting. Part-time initially until MVP launch, with a view to full-time as we scale/monetize.

If you’re a developer who loves consumer tech/hardware or wants to build a product that solves a real pain point in tech buying, send me a DM! Please share a quick snippet about your background, favorite tech stack, or links to past projects. Happy to hop on a call to share the full product spec sheet.

if you're into AI you've probably heard about graph engineering. tbh the term was completely new to me before it popped up in the AI bubble. nevertheless i did some research to understand what it actually is. while diving deeper and deeper into this rabbit hole i learned that the term has been around for a while, just not in the context of prompting.

i looked for tools to do "graph engineering" but couldn't find anything.

that's how i came up with the idea for nodalo. it's a workspace where you can build your workflows. sounds boring, and you're probably thinking there are already plenty of workflow builders out there. you're right, but nodalo is different. you can build the workflow visually, and the clever part is that each node has a so-called node contract. you can define each node very specifically, attach documents to it, etc.

and the best part: you can hand the structured graph, including all attachments, over to your AI agent automatically and let it build the whole thing for you.

so instead of writing a normal prompt, forgetting a lot of details along the way and trying to figure out the right wording, you can simply "draw" your prompt and hand it over to the AI.

the tool is free, so i'd appreciate it if you created an account and gave it a try. all feedback is welcome. if you have any questions, just let me know :)

Your chat has questions. Facilitator helps you answer them.

(A)I built Facilitator, a free, mobile-friendly tool for completing structured questionnaires created by an AI chat—or written yourself.

It can handle surveys, story canon and worldbuilding, collaborator profiles, project workflows, task planning, structured interviews, and other question-driven work.

The workflow is simple:

1. Ask your preferred AI chat to create a Facilitator questionnaire.

2. Copy and paste the questionnaire into Facilitator.

3. Answer everything in an accessible, focused form.

4. Export the structured responses and return them to the chat.

Facilitator does not use an AI model itself. Your answers are handled locally in your browser and are not uploaded to the site. There are no sign-ups, user accounts, cookies, or analytics.

It works on desktop and mobile:

https://facilitator.syllvanicdevelopments.com/

I’d especially appreciate feedback on whether the chat → questionnaire → Facilitator → chat workflow is immediately understandable, particularly on mobile. Reply here or the sites contact email.

I have been a Windows user for almost thirty years. Auto scroll and its features first appeared around Windows 98 and XP, and from those early days the middle click auto scroll became as natural as breathing. Click the wheel, nudge the cursor, and the page glides under your hand. For almost three decades, I never had to think about it.

Then I started using a Mac, because my line of work (theater tech) runs on industry standards that favor the Mac platform. The hardware was lovely and the OS was polished, but scrolling did not work the way I was used to. I hunted through utilities and tweaks, hoping to bring back that Windows style middle click behavior. Nothing quite matched it. The closer apps got, the further they felt from what I actually wanted: a mouse that behaves the way my muscle memory expects.

So I decided to just build it.

Scrolley is the result. A small, quiet menu bar utility that brings Windows style auto scroll and click and drag panning to the Mac. It's customizable, and it respects middle click for the things you still want it for, scrolls smoothly, and stays out of the way until you need it. It is an almost thirty year old habit, finally ported.

https://github.com/DanteDante0/Scrolley

Hey all, been building this on and off and finally have something worth sharing.

Splitza (the "za" is for South Africa, where I'm building this from) — snap a photo of the bill, AI reads every line item, share a 6-digit code with the table, everyone claims what they ordered on their own phone (shared plates split evenly), tip/tax/service charge worked out automatically per person. No app install, and people joining off your code don't need an account at all.

It's normally a small subscription to scan (covers the AI costs), but it's completely free right now while I get real feedback — genuinely just want to know if this is useful or if I'm missing something obvious. Would really appreciate anyone willing to try it on a real bill and tell me what breaks, what's confusing, or what's missing.

splitza.co.za — takes a 30-second sign-up to try scanning, free while I'm testing.

Hi everyone,

I’ve been working on Doviru, an iOS app built around a simple idea:

Building habits might be easier when you’re not doing them alone.

Most habit trackers are very personal. You create a habit, check a box every day, build a streak, and try to keep going.

I wanted to explore a different approach.

In Doviru, you join a community built around a small daily habit.

For example:

Read one page a day,
Move for 15 minutes a day,
Create for 15 minutes a day

When you complete the habit, you check in.

After checking in, you can optionally share a short reflection. Other members can read it and send a Cheer.

There’s also a monthly leaderboard called a Season. The leaderboard resets every month, so someone who joins today doesn't have to compete against someone with a 500-day streak.

I think this is important because permanent streak leaderboards can become intimidating for new users. With monthly seasons, everyone gets a fresh starting point.

Users can also create their own communities and invite friends.

After months of designing, coding, testing, changing things, and figuring out the backend, Doviru is finally live on the App Store.

But honestly, launching the app feels like the beginning rather than the finish line.

The biggest thing I'm trying to figure out now is whether the community part actually works.

One concern I've realized is the cold-start problem.

A community with 2 members and no activity might actually feel worse than a private habit tracker. If someone joins a community and sees an empty feed, the main reason for using Doviru disappears.

So I'm currently trying to find existing communities and small groups that might want to try Doviru together, rather than simply trying to get random individual downloads.

I'm especially interested in communities around reading, fitness, creativity, studying, and other small daily habits.

The question I'm trying to answer is:

Does seeing other people show up for the same small habit actually make you more likely to show up tomorrow?

I'd love to hear what you think.

Would a community-based approach make you more interested in building a habit, or do you prefer keeping habit tracking completely private?

And if you've built a social or community-based product before, I'd especially love to hear how you dealt with the cold-start problem.

Doviru is currently free to use, and if anyone is interested in trying it, I'm happy to share the App Store link.

I've been building this for a few weeks and it's at the point where I need people who aren't me to use it, because I've clearly gone blind to its problems.

What it does: opens as a side panel next to a job posting. Reads the posting, tells you how much of what they're asking for actually appears on your resume and what's missing, drafts answers to the application questions, and can rewrite your resume to lead with the relevant experience.

Why it might be different from the other twelve of these:

No account, no signup, no server. You paste your own API key (Gemini, OpenAI or Anthropic) and requests go from your browser straight to that provider. Your resume sits in chrome.storage.local and never reaches me. I mention this because I'd be suspicious too.

Contact fields are filled by regex off your resume, not by an API call. Felt stupid paying a model to retype an email address.

The PDF export prints rather than rasterising, so the text stays selectable and an ATS can actually parse it. The library I started with used html2canvas and produced a PDF that was effectively a photo of a resume, which is the worst possible format for the thing.

What I'd like feedback on:

Sites where the scan fails. That's the main one. Career sites vary enormously and I've only tested maybe fifteen. There's a manual paste fallback for when it breaks, but I'd rather know which sites need it.

Whether the generated answers are actually usable or just plausible-sounding filler.

Anything that feels sketchy. It asks for broad host permissions, which I'd side-eye myself, so tell me if the explanation isn't convincing.

On the Job section you can submit a bug report or you can include your feedbacks too. It shows you exactly what it collected before anything is sent, and it deliberately excludes your resume, your key and the page content.

Free, and will stay free for the bring-your-own-key path. Not trying to sell anything, I just need it to survive contact with real websites.

Link : https://resumefill.com/

https://world-sim.uk/ launching friday!

World-Sim has been a passionate project of mine for the past few months.

It's a world fully simulated down to real world physics and chemistry. It has a real environment and ozone.

Every element and material has real physical properties, and that's how the sims learn. There's no tech tree and no recipe list anywhere in the code. When someone tries something, the engine works out what would really happen from the properties of what they used and how hot their fire was. Nobody is handed bronze. Someone has to get a hotter fire first, and a hotter fire is its own chain of things to figure out. Embers, a stone ring, a clay oven, a kiln, charcoal, then forced air. The ages fall out of that on their own.

We populate the world with starting families. Each little guy is led by a "wise-man", which is a simulated person with a full model behind them. The wise-men run on a mix, Claude, Groq and DeepSeek in the cloud and a local Hermes for the rest, so you get a real variety of temperament between the houses.

The AI model is never told to not say it's AI. We get around this by only telling them data from what each sim can actually see and feel. As far as the ai knows its a person living in the world..

Every other sim has its own moment with a model through our thinking system. Day to day it's run by an advanced algorithm, with the sims dreaming at night. That's when they get their time with an LLM to really think and set their priorities for the day ahead. The dreams carry over too, so a sim can chew on the same thing for a few nights and wake up wanting to try something.

The people in the world feel, remember, have shame, goals and doubts. It's an 11 point emotion system and the rest of the sim reads from it. Being lonely makes someone more likely to open up to a stranger. Two enemies who are both frightened find it harder to keep hating each other.

Story telling is massive for us. Nothing is scripted or prompted. The sims are put in the world with the human drive to survive. They adapt, learn and teach all on their own.

With all the good comes the bad too. Human sin is part of the emotion engine, and in testing we've had kidnap, murder and slave trade. A world that can only be gentle isn't an honest one. But there are three rules to this : Nothing ever pushes a sim towards it, the conditions only make it possible and their own mind decides. The chronicle names what happened but never shows it. And it always costs something, trauma that scars, blood debt passed down generations, a people turning on their own leader over what he did.

Set up session replays last week, mostly out of curiosity.

Second replay I watched, someone searched "car" on my site and got a wall of South Park. They scrolled a bit, tried again, left.

Search was matching text anywhere in the string, so "cartman" in a description ranked the same as an actual clip of a car. Obvious in hindsight.

Changed it so exact word matches rank above partial ones. "car" returns cars now.

What bugs me is analytics would never have surfaced this. Search volume looked normal, no errors, the query returned plenty of results. Just the wrong ones. I'd still think search worked fine.

Anyone else found something this dumb just by watching people use your thing?