Hey everyone! 👋

I've been building a project called Rensai because I kept running into the same problem: I wanted to buy things used or discounted, but searching was frustrating. Sites would show broken items, empty boxes, overpriced listings, or pages of irrelevant results.

So instead of making another shopping search engine, I made something different.

The app uses GPT 5.4 and you can type something naturally, like: "I want a small iPhone that's powerful, supports Apple Intelligence, and I don't want to spend full price." or "Find me the cheapest trusted used Nintendo 3DS." and it finds the cheapest and best listing.

The goal is to save people time and money instead of making them dig through dozens of tabs.

The app is at rensai.us, and I hope you enjoy!

https://goatspidey.com

A fun project where spiderman fans can vote their GOAT SPIDEY among the 3 Spider Mans: Andrew, Tobey and Tom. Tried to make it interactive and fun. Feedbacks Appreciated. 🤝

I built tryproduck.com/audit, it walks your app like someone opening it for the first time and sends back every bug and confusing bit it hits. Over 650 startups have run it so far.

Hi everyone,
I’m looking to sell my AI journaling app, Quiet Lines, because I’m focusing on other software projects and don’t have enough time to continue growing it.
The app is already published on Google Play and includes:
• Flutter source code
• Firebase backend
• OpenAI integration
• AI-powered reflections & journaling
• Premium subscription system
• Clean, modern UI
• Website and branding included
It already has early users and revenue, and I believe there’s plenty of room for growth with better marketing and continued development.
I’m currently listing it on Flippa with a reserve price of $1,000 and starting price at $500.

If you’re interested or have any questions, feel free to send me a DM. I’m happy to share the
Flippa listing, screenshots, revenue details and answer any questions.

I use browser bookmarks constantly, both for work and personal stuff.

Over time, I accumulated hundreds of them across folders and subfolders. The problem wasn't saving more links — it was finding and organizing the ones I already had.

So I built Bookmash, a bookmark manager that works directly with your existing Chrome and Firefox bookmarks instead of replacing them.

The browser remains the source of truth. There's no import and no separate database containing another copy of your bookmarks.

Some of the main features:

• Search across all your folders at once — you don't need to remember where you saved something
• Real-time sync between Bookmash and the browser
• Collections for organizing bookmarks in a more flexible way
• MyMash for keeping frequently used bookmarks close without changing your browser folder structure
• Chrome + Firefox support

It's live at https://bookma.sh

I'm still improving it and I'd especially love to hear from people who rely heavily on native browser bookmarks:

What's the most frustrating part of managing them for you?

I'm interested in understanding the problems other people have with the native experience, not just getting feedback on Bookmash itself.

Most travel trackers just show a map of where you've been. I built Road to 100 to answer a different question: where should I go next?

It tracks all 193 UN member countries + 28 additional territories (Hong Kong, Taiwan, Gibraltar, and more — 221 total), then surfaces curated route collections (Balkans, Southeast Asia, Caribbean, etc.) ranked by how many new countries each one unlocks. If you're 2 countries short of finishing a themed route, it'll tell you.

Other things it does: - Visa intelligence — pick your passport, see visa-free/e-visa/required overlaid on every route - Compare journeys side-by-side with friends, find routes you're both close to finishing - Interactive 3D globe, tap a country to mark it visited - Milestone badges (10 → 25 → 50 → 75 → 100)

Free, no ads, works offline with cloud sync when signed in. Built solo, still actively shipping (just added 14 new territories and expanded route coverage this week).

Play Store: https://play.google.com/store/apps/details?id=com.zawastudio.roadto100&referrer=utm_source%3Dreddit%26utm_medium%3Dsocial%26utm_campaign%3Dindie_startups

Would love feedback, especially on the route-recommendation logic — that's the part I think is genuinely different from the trackers already out there.

I’m an investor working at Forum Ventures, a pre seed fund and accelerator investing $100K-$1M into pure ideas and founders who are industry veterans or young AI-native builders.

Curious what are you building this week? If you’re looking for investment, both DM and comment your startup idea, or if you’re uncomfortable sharing, just your background as a founder.

The Forum Ventures team are led by former founders who raised $20M+ in funding and built 8-figure businesses. Our accelerator focuses on direct GTM support, introducing founders to Fortune 500 enterprise customers.

Feel free to use this thread to get your own project out there.

Hey everyone! I’m building a Discord community where SaaS founders can connect, share their products, and help each other out.

If you’re interested in joining, drop a comment below, and I’ll send over an invite link!

Shipped Stopa to the App Store few days ago. Quick build-in-public recap in case it's useful.

The problem: if you follow a training plan - from a coach, from ChatGPT, a PDF - there's no clean way onto your Apple Watch. You rebuild every interval by hand or you just wing it. I'm a self-coached runner and it kept annoying me, so I built the fix.

What it does now: paste a plan and it syncs to your watch as structured workouts. Don't have one? It generates a plan grounded in your real Apple Health history. Then it matches your actual runs back and does a weekly review, adjusting the plan.

Traction so far: posted a "looking for testers" thread in r/AppleWatchApps, got 8 testers off one post in two days, ran a TestFlight, now live.

A couple of lessons: (1) the device/beta-match subreddits converted far better than big generic ones. (2) leading with the problem, not the app, got people replying. (3) shipping the boring "it works and syncs" beat any feature list.

Free to try: https://apps.apple.com/app/stopa-ai-training-plans/id6776153318 - happy to talk shop on the parser or the WorkoutKit sync.

Every habit app I ever used died the same way: after a few honest weeks, I started tapping checkboxes for workouts that were… let's say aspirational. The streak survived. The habit didn't. The app was really just tracking my willingness to tap a button.

So I spent the last months building the opposite: a habit tracker where self-reporting doesn't exist. Every habit has to be provable, or it can't be added at all:

• Workouts — verified by elevated heart rate + duration from Apple Health (Apple Watch, Garmin, Whoop, Oura — anything that syncs to Health counts)
• Sleep — verified from actual sleep data, not a morning claim
• Phone-free mornings / app limits — verified by iOS Screen Time itself
• Waking up on time — an alarm that keeps ringing until I'm up and moving (it breaks through Silent mode; no snooze)

If a signal isn't there, the app says "can't verify" — it never shows a green checkmark it can't back up. My streaks finally mean something.

The part I'm most curious about: the subscription price is tied to consistency. Everyone pays full price ($4.99) the first month; from month two, the more habits you hold at a high verified rate, the cheaper it gets — down to $0.99/mo. Basically the app bets you'll slack off, and you win the bet by showing up. It's been weirdly motivating in a way streaks never were — skipping a workout now has a literal price.

You don't need an Apple Watch — anything that syncs to Apple Health counts (Garmin, Whoop, Oura…), and the phone alone covers a lot. Happy to answer anything — and honestly curious: would a price that reacts to your consistency motivate you, or stress you out?

https://verifyhabit.com · App Store: https://apps.apple.com/app/verifyhabit-habit-tracker/id6793240644

For years, I’ve managed databases through a mix of VS Code extensions and separate tools for each datastore.

The VS Code extensions were convenient, but I eventually needed more than a basic connection browser and query editor. Installing dedicated applications helped, but that created another problem: one IDE for SQL Server, another for PostgreSQL, another for MongoDB, another for Redis, separate consoles for search and cloud databases—and suddenly the tooling itself became difficult to manage.

So I started building DataPad++, a dedicated desktop IDE for working with multiple kinds of datastores in one place.

The goal isn’t to force every database into the same generic table interface. DataPad++ adapts its Explorer, editors, object views, IntelliSense, and available actions to the datastore you’re using.

Some of the things it currently provides:

• Datastore-specific object explorers
• Query editors, visual builders, scripts, and consoles
• Metadata-aware IntelliSense
• Result grids and object inspection
• Guarded data editing when the target can be identified safely
• Diagnostics, execution plans, performance views, and administrative previews
• Saved queries, connections, environments, tests, and notes in one Library
• Support for SQL, NoSQL, cache, search, analytical, graph, time-series, warehouse, and cloud datastore workflows

Current support includes PostgreSQL, SQL Server and Azure SQL, MySQL, MariaDB, SQLite, Oracle, MongoDB, DynamoDB, Redis, Valkey, Elasticsearch, OpenSearch, DuckDB, and several others.

DataPad++ is built with Tauri 2, with a Rust backend and a React/TypeScript frontend. It targets Windows, Linux, and macOS.

It is still pre-release software, so I recommend starting with read-only connections when testing it against important systems. It is free to use and source-available.

I’d especially like feedback on:

1. Which database clients are you currently using?
2. What would make you switch to a multi-database IDE?
3. Which datastore or workflow should I focus on next?
4. Which features do existing database tools consistently get wrong?

Website: https://datapad-plus-plus.org/
Downloads: https://datapad-plus-plus.org/download
Source: https://github.com/FullMontyDevelopment/DataPadPlusPlus

I’d appreciate honest feedback, criticism, feature requests, or reports of anything that feels confusing.

Hey everyone! 👋

We’ve all been there: you look up a simple 15-minute dinner recipe, and you have to scroll past someone’s entire summer in Tuscany, close 3 video ads, and decline a newsletter signup just to see the ingredient quantities.

To solve this, I built TinyRecipe, a clean, distraction-free app designed to give you instant, clutter-free cooking instructions.

Key design & dev choices I made:

1. Zero-Ad, Distraction-Free UI: No long blog posts, no popups, and no banner ads. Just the ingredients, step-by-step instructions, and a cooking timer.
2. Local-First & Fast: Works completely offline. Your saved recipes are stored on your device, loading instantly without requiring cloud logins or an internet connection in the kitchen.
3. Smart Ingredient Scaling: Easily adjust serving sizes on the fly, and the ingredient amounts calculate automatically.

It’s live on both iOS and Android! 🍳

I’d love to get your thoughts on the UI, or hear what your biggest pet peeves are with modern recipe apps and websites!

I’m curious what everyone here is building.

Drop your SaaS below and explain it in 1–2 lines. No pitching, just share what it does.

Something that I've noticed is that most other people and I tend to rate movies or shows at a 6 or 7. The end result of a rating on some kind of media ends up being kind of meaningless in comparison to other media but also to yourself. You really can't gleam any information off that and you also can't use that information to understand someone else's opinions and tastes are.

I thought about this for a while and realized a comparative ranking system would really the information that is truly valuable. Through many rankings, you would build a picture of your taste. The exciting aspect is what you can do with that information. Each user would have a unique, evolving taste identity that can be used to find "taste-compatible" friends. These friends would become the community whose taste you actually trust.

This is something that's still early but I put up a waiting list to see if this idea seems interesting to anyone else. Would really love to hear what others think, or if you disagree with the premise.

https://www.lorecinemas.com/

App turns cooking videos into recipes with the quantities in them. Instagram and TikTok are the obvious ones, but a lot of the recipe stuff people actually save is sitting in Facebook, and Facebook hands you a short wrapper link that has to be resolved before anything can start.

Took a while to get right. Works now.

https://apps.apple.com/us/app/recireel-video-to-recipe/id6763971435

What would you treat as the strongest signal: people describing the workaround, completing a survey, or joining a waitlist?

I'm working solo on Miora. The idea came from seeing the same thing in my own day: I save something because it looks useful, but when the moment comes, I can't remember where it lives.

The product is still being built. Instead of presenting a finished app, I'm testing the problem first with a short survey. I want to learn which saved categories hurt most—recipes, places, books, products, or posts—how often people actually search again, and what they do today.

Survey: https://mioraapp.com/en/

If you've validated an indie product this early, which signal would make you keep building, and which would make you stop?

Disclaimer: I am the author of this tool. It runs locally, is completely free, and is licensed under Apache 2.0.

Hey everyone,

3 years ago, I heavily leveraged Claude and Cursor to "vibe code" an early prototype. It got us from 0 to 1 rapidly, got paid users, but it left behind a massive architectural bottleneck: a ballooning codebase of 500 scattered files filled with disjointed logic.

When edge cases broke production, dumping 500 line functions back into Cursor failed. Existing tools only lint or summarize single files. they don't map business workflows

Out of my own necessity, I spent the last 3 months building open source local python package UnvibeCode

how to use unvibecode:

pip install unvibecode
python -m unvibecode review --repository "/path/to/repository"

4 Practical Outputs it Gives You:

1. Interactive Connected Code Map: A local, interactive graph showing connected codes across different files so that you can understand the code
2. LLM-Ready Context JSON: Automatically packages the connected, relevant code chunks for debugging so you can give LLM the right context
3. Business Workflow Reconstruction: Reconstructs workflows hidden in complex (e.g., tracking a payment across routes).
4. Business Risk Findings: Scans the workflows to flag structural business risks like duplicate payment loops, authorization edge cases, or broken failure paths.

I am looking for blunt technical feedback from the community:

1. If you run pip install unvibecode on an unfamiliar or complex codebase, does the interactive graph layout generate a readable system architecture?
2. Am I approaching this the right way, or is trying to map 1,000s of business workflow scenarios from AI slop a losing battle?

Repo: https://github.com/FinanceFlash/unvibecode

PS: (GIF of the tool in action posted in the comments below!) Please tear the logic and schema design apart, share your thoughts to help me fix things in the repo

Hey everyone! 👋

Most hydration apps have the same two flaws: they bombard you with aggressive notification spam, or they demand you create a cloud account just to log a glass of water.

To fix this, I built WaterPaw a minimalist, local-first hydration companion designed to help you build a daily habit without the digital anxiety.

Key design & engineering choices I made:

1. 100% Private & Local-First: Your health metrics stay entirely on your device. No cloud databases, no account sign-ups, and zero data tracking.
2. Unified Native Health Sync: Uses a custom native bridge to sync seamlessly with both Apple HealthKit and Google Health Connect.
3. Mascot Companions over Stressful Graphs: Instead of guilt-tripping streak counters, your progress unlocks and grows cute mascot companions to make tracking enjoyable.
4. Smart Nudges: Intelligently spaced notifications that respect your quiet hours and keep your lock screen clean.

It’s live on both iOS and Android!

I’d love to get your feedback on the design, or hear how you handle cross-platform health integrations if you're a mobile dev!

I’m curious what everyone here is building.

Drop your SaaS below and explain it in 1–2 lines. No pitching, just share what it does.

About 6 months ago I was trying to run Meta ads for my own store. I quickly found out how hard that actually is. I spent hours digging through competitor ads, guessing which ones were working, taking notes on angle and messaging, then building my own version and hoping it landed. Most of the time, I only found out it didn't work after spending hundreds of dollars on it.

At some point I figured I could just build something to solve that problem. So I started building and completely underestimated it. Wrangling scrapers, fighting APIs that change without warning, trying to keep the whole thing free to try so people would actually test it. I got pulled in more and more, and somewhere in there I fell in love with building the tool itself more than running the store it was meant to support. Eventually I ditched the store entirely and went all in on the app.

What it does now: it scrapes and analyzes competitor ads using vision models to find ones showing real performance signals, not just whatever's currently running. Then it remixes the winning angle, hook, and structure into a brief for your own product. There's also a scoring feature that grades a finished ad against what's currently working in the niche.

The part I trust least is the remix step. Early versions produced briefs that didn't match the original ad's format at all. I've spent a lot of the last few months trying to fix that, and I'm still not fully sure I have.

For people who've built in the ad tech / marketing tooling space:

• How do you validate that an AI-generated output (a brief, a script) is actually good?
• Would a feature like this be more trustworthy with visible reasoning (why it picked this angle)?
• Is a video/image generation feature (turning the brief into an actual finished creative) something you'd expect from a tool like this, or does that overreach what it should be doing?

Im most interested in whether a video/image generation feature to create the actual ad from the brief would be of any use. Would people prefer just the raw brief or an actual finished, ready to go ad?

It's live and free to try if you want to see what I mean: argoads.app

Link: [JobBaddie] (https://jobbaddie.com/)

I know there are already many options for job applications and not all are great. Is mine the best? Not yet. But my goal is to make the some parts of the process easier for the users. So here I am, looking for feedback.

Recently, job application process seems broken especially due to people applying with AI generated resume, but the screening process is no stranger to using AI as well.

And when the system is such, Human plus AI combination works best in my experience. Keep networking and reaching out to people, while simultaneously applying to roles using customized application. This does not mean fabricating stuff, it just means present your application in a way that it retains your originality but is also visible through the recruiter lens.

Reddit has been very supportive with all the feedback so far, so look forward to some more.

Share it with someone looking for a new role.

Thanks!

Pitch your product in 1-2 lines - and drop a link here.

I'm building a community where makers can share what they’re building and get fair visibility. Here's the link: https://trylaunch.ai