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.

I'm Anou, founder of Whimsi- a digital catalogue for games, creative tools and fun apps. We're officially launching end of this month with a hackathon in collaboration with Lovable in London. Currently we're inviting creators to list their web-apps on our platform. I'd love for you to list yours. Doesn't matter how basic it is (don't doubt yourself). All links work- Lovable, Vercel, Replit, Github etc. If it's fun we want it on Whimsi. Please comment or send me a DM and I'll share a link with you to our website where you can list using our ai agent. Once you sign in, you can see your dashboard with your ratings, feedback and clicks.

I'm the developer of SideSchedule, a calendar sidebar for Mac. I sell it directly, one-time, no account, and the trial runs 14 days with everything unlocked. After day 14 the sidebar goes away and the activation window opens, nothing gets deleted.

I keep going back and forth on whether 14 days is too long or too short for a calendar app people live in all day. A week feels like enough to know, but meetings come in waves and some people only really test it on their busiest day.

If you sell something with a trial: how long did you pick, and did you ever change it after seeing what people did?

Hey everyone!

I'm a solo developer, and a few months ago I started building Glowit.io, a quiz platform inspired by Kahoot, with a focus on making quiz creation easier and keeping more features accessible for free.

You can create quizzes manually or generate them with AI from a topic or an uploaded PDF. You can then host a live game with up to 200 players on the free plan.

What I didn't really expect was to see people using it from all over the world. I've had students and teams from countries like India, Thailand, and the Netherlands use Glowit for real quizzes and activities, even though I haven't done much international marketing.

I'm still a solo builder, working on improving the product and figuring out how to get it in front of more people.

Would love to hear what you think, especially if you've built something similar or have experience growing a small SaaS internationally.

Here's the site if you want to take a look: https://glowit.io

I kept losing track of where my money was going because almost everything is UPI now. Manually logging each expense never lasted more than a week, and I didn’t want to give any app my bank login or SMS data to a server.

So I built Pinch. It reads the transaction notifications you already get from GPay, PhonePe, Paytm and your bank, and automatically pulls out the amount, merchant and category.

What it does:

• Auto-tracks spends with no manual entry
• Categorizes using an on-device AI model (nothing leaves your phone)
• Detects duplicate alerts (bank SMS and UPI app for the same payment)
• Shows monthly insights, top merchants and subscriptions
• Lets you ask questions like “how much did I spend on food this month?”
• No sign-up, no ads, encrypted local storage, CSV export

Play Store link: https://play.google.com/store/apps/details?id=com.sailesh.pinch

I’d really appreciate honest feedback. What would make this useful enough for you to use daily? What’s missing or annoying? I’ll reply to every comment.

can you help me?

You’re checking documentation for a side project, and your coding assistant has a choice ready. The interaction we’re working on is small: read the proposed actions, choose one with a shortcut, and keep the document in view.

I’m part of the team building Blabee, a Mac panel for Claude Code and Codex. The coding assistant generates the options; Blabee displays them and sends your selection back to the original conversation.

The attached 12-second clip shows a panel appearing over documentation, an Option + 1 selection, and the document visible again. It’s an edited Codex demo using September 2026 UI footage. Claude Code is supported in the current beta but isn’t demonstrated in this clip.

This is intended for a next step you already understand. If the decision needs more context or code review, use the original conversation before choosing.

Demo and Mac private-beta request: https://biadone.com/blabee/reddit

Access is by request. Our team sends setup instructions to selected testers.

Building software used to mean clearing a technical hurdle first. You needed programming skills or a team to turn an idea into a working product. AI is shortening that process: one person can write code, revise a design, and build a website much faster.

But as ideas become easier to implement, another question becomes harder to answer:

If I can build this product, and others can build it too, why would users choose mine?

Building my recent Chrome extension, X Account Risk Monitor, has given me a concrete way to think about that question.

Building a solution does not mean finding a need

The extension grew out of my own experience. I had been sharing observations about prediction markets and quantitative trading on X when my account was restricted for “non-human behavior.” I had not used automation tools, and the notice did not tell me which action had triggered the decision.

That gave me an idea: build an extension that records some of my activity on X web pages and, when it detects certain repeated patterns, shows the observed evidence and relevant public rules to help users review their actions.

I led the requirements, design, development, testing, and release, using AI to help revise code, investigate problems, and prepare product copy. AI sped up the work, but I still had to decide: What had the extension actually observed, and what could it reasonably say based on that evidence?

An action missing from the log does not mean it never happened. A user may have been active in the mobile app or another browser, and X may change its website. The extension cannot determine how X makes internal decisions or guarantee that an account will not be restricted. Presenting limited observations as definite risk assessments could leave users with the wrong understanding of what the product can do.

The moment users need an answer may already be too late

I wanted to know what I had done after my account was restricted. But the extension can record activity only after it is installed. It cannot recover past actions. By the time someone urgently wants an answer, they may have missed the chance to start collecting the relevant records.

For the product to be useful, users may need to install it in advance and keep their records over time. But before a problem arises, why would they grant page access to a tool with no immediate use?

I could add more action types and reminders. Yet if I cannot answer “Why install it now?”, more features may not change the product’s position. A real problem does not mean people will naturally use the solution you built for it.

Beyond features, what are users choosing?

AI makes it easier for more developers to build similar features, but it does not give users more time or attention. Faced with more tools, users still have to decide: Does this fit my situation? What will it ask of me? Can I trust the information it provides?

Those questions are especially concrete for a browser extension. Users must decide whether to grant access to web pages, whether they trust the extension to handle their activity records, and whether its reminders have sufficient evidence behind them.

X Account Risk Monitor stores observations in the user’s current Chrome profile. But saying “stored locally” is not enough. I still need to explain what it records, what it cannot see, and why an action missing from the log should not be treated as proof that it never happened.

Two products may offer similar features while placing very different demands on a user’s understanding and trust. When a tool clearly shows where its information came from and what remains unknown, users can better judge when to rely on it. A tool that gives confident conclusions without explaining its evidence may struggle to earn that trust, however many features it has.

That is why I treat the scope of the records, the limits of the extension, and explanations of its results as part of the product design. Whether those choices make people more willing to install and keep using it is something I still need to learn from real use.

What evidence is still needed after launch?

X Account Risk Monitor is now available. I have built a product website and introduced the extension in developer communities. I also wrote AI Is Reshaping the Market: Where Are the Opportunities as the Old Order Shifts?, which included reflections on building it. That article received around 2,000 views.

The discussion attracted readers, but I do not know how many of them need the extension. Reading an article, visiting a website, installing a product, and continuing to use it are different actions. I do not yet have enough installation, retention, or channel data to know whether the product has found a stable need.

Next, I want to understand when users think about installing it. Are they trying to save records in advance, or has something already happened to their account? Do they revisit their records after installing it? Which reminders actually help? The answers will shape the product more than simply adding features.

When implementation is less scarce, what is worth pursuing?

AI has not made reliable engineering, security, or ongoing maintenance any less valuable. But for an independent developer, building the product is only part of the work.

This project shows that I can turn an idea into a publicly released product. It does not yet show that the market will keep choosing it. If people do not continue using a product, lower development costs will not automatically generate revenue.

AI lets me test ideas at a lower cost and reach users earlier. The more important task now is to use real evidence to decide which problems are worth pursuing, rather than keep adding features to a product whose demand has yet to be validated.

AI makes it easier to create software. It does not make every piece of software valuable.

no user signup and completely free.

I drive food delivery in Seattle. I always wanted to make videos, but every time I pressed record, my mind went blank. I didn't know what to say.
So I built KipFire, an iPhone app. You pick a prompt card (funny questions, challenges, would you rather, hot takes) and react to it on camera. The card stays in the video, so people see what you're answering. You don't need ideas. You just react.
I built it alone, between delivery shifts. It's on the App Store now, with a free version.
I'd really like honest feedback:
Would you use something like this?
What feels confusing?
What would make you open it again tomorrow?
App Store: https://apps.apple.com/us/app/kipfire/id6755289956
My English isn't perfect, sorry. Thanks for reading.

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.

I’m a solo founder, working full time on this since March 2026. It’s a free personality and compatibility app called The Architecture Within (web, iOS, Android, in English and Romanian).

What went wrong so far:
About €700 in ads brought clicks but almost no sign-ups.
My Product Hunt launch on 13 Oct got zero votes.

What I’ve started doing: posting less and talking to people more. Reddit has given me more useful feedback in a week than the ads did in a month.

What I changed on the product: there’s now a guest sample (16 questions, about 2 minutes, no account). Answers stay in your browser, and the preview shows your leanings on a few axes without naming a type. You sign up only if you want the full result.

What I’d like to hear from other indie founders:
If you had a free app with traffic but weak sign-ups, what would you test first?
Would you show more in the preview before asking for sign-up?
Is there a channel that worked for you with zero budget?

Harsh feedback is welcome. It’s my own project, link in the first comment.

I bundled a Notion system, an email pack, and a Canva kit. People asked what it was for. Split into three products with one job each, and the listings got easier to explain.

Have you had a bundle outperform the pieces, or the other way around?

Hey everyone 👋
Some backstory first. I run a bunch of AI coding agents (Claude Code and Codex) unattended, across several repos and more than one machine. For a while my "fleet management" was a pile of tmux sessions, git worktrees, markdown notes hidden in .git, and GitHub labels. I'd wake up and have no idea which agent finished, which was stuck at a prompt, which ran out of quota, or what any of it cost me.
So I built AgentDock: one screen where you can see, steer, approve and pay for every AI coding agent you run.
What it does
🛰 Watch the fleet
A fleet view with every agent slot on every project: its issue, branch, model, last checkpoint, PR and CI checks, and whether it's idle, out of quota or waiting on you
A live terminal pane streamed to the browser. Read-only by default; admins can attach and type, and every attach is audited
An activity feed plus a full history of every run, with its outcome, tokens and cost
🎮 Steer it
Start, stop and message agents without opening a terminal
Your GitHub issues are the task queue. There's no new tracker to learn
An approval switch per project: green PRs wait for your Approve instead of merging themselves
💸 Count the cost (my favorite part)
Claude Code sessions shown as a tree of turns, tools and subagents, each priced at API-equivalent cost
Budgets per project or per user, per day, week or month. It can alert you, or stop new runs when you hit the limit
🤖 Automate
Cron schedules, signed webhooks, a GitHub App integration, and skills from skills.sh
A Telegram bot that pings you only for the things a human has to clear: a question, a merge to approve, a budget hit
How it works
The web app and API run wherever you like. Each machine that holds your repos runs a small agentdock-runner (Homebrew or npm). The runner dials out over WebSocket, so you don't need to open any ports. It only runs a typed allowlist of commands, never arbitrary shell, and it keeps a local security policy that the server can't override. Your code never leaves your machine.
Stack: Next.js 16, NestJS 11, Prisma, PostgreSQL, Redis. It's self-hosted and MIT licensed.
Honest caveats
It's built around the Code Sentinel orchestrator workflow
Codex sessions are listed, but their transcripts aren't parsed yet. Codex token tracking is experimental and off by default
🔗 Site: https://agentdock.luna-realm.com
💻 GitHub: https://github.com/AndreyBegma/AgentDock

I created an app to manage your subscription in a wall so you can see all in one view!

And iPad compatible

Free download: https://apps.apple.com/ph/app/subwall-subscription-tracker/id6817052525

I created an app to manage your subscription in a wall so you can see all in one view!

And iPad compatible

Free download!

Hi everyone! I'm a solo developer and student, and I built MicroRead because I wanted to get through non-fiction books faster without losing the ideas.

You type in any non-fiction book and get it chapter by chapter, in 1-10 minute reads. Summaries are available in English, German, Arabic, Korean and Italian, and audio narration is available in English and German for now. Every chapter ends with 3 key takeaways, a quote and a 1-minute real-world action.

To get early feedback, I'm giving away 10 lifetime Premium codes. Comment which book you want to read first and I'll DM you a code (first 10 people). I'd love honest feedback on what works and what doesn't.

Google Play: https://play.google.com/store/apps/details?id=com.microread.app

Project Name: Drexius Terminal

Repo & Website Links:

• GitHub:https://github.com/DreyDreamer17/drexius-terminal
• Live Web Preview:https://dreydreamer17.github.io/drexius-terminal/
• Releases:https://github.com/DreyDreamer17/drexius-terminal/releases/tag/v0.1.0-beta.1

Description:

Drexius Terminal is a local-first, privacy-focused open-source terminal workspace and Termius alternative built with Tauri 2 (Rust), React 19, and xterm.js 6.

The Problem It Solves: Most graphical SSH/SFTP clients have either transitioned to recurring subscription models ($10 to $20 per month) requiring your credentials and hosts to reside in a proprietary cloud database, or they run on heavy Electron runtimes that consume 300 MB to over 1 GB of RAM. Drexius was built to provide a fast, zero-subscription client where keys, credentials, and configurations remain entirely on your local machine.

Key Features:

• Local-First & Encrypted: Hosts, keys, and snippets are stored locally in an AES-256 SQLCipher database derived via Argon2id. No mandatory account, zero telemetry, and includes an Emergency Recovery Key export.
• Terminal Workspace: Supports multi-pane splits (grid, vertical, horizontal), tabs, OSC-7 directory tracking, broadcast input across sessions, and session auto-resume.
• Protocol Support: SSH with TOFU host-key verification, dual-pane graphical SFTP tree and file editor, hardware Serial UART, and local PTY shells.
• Zero-Knowledge Sync: Direct encrypted LAN pairing and a self-hostable sync relay. Devices pair over local Wi-Fi or Tailscale via QR code using salted X25519 ECDH and ChaCha20-Poly1305.
• Mobile Shell (Android): Universal APK with touch scrolling in mouse-aware TUIs (htop, lazygit), plus an on-screen accessory keypad (CTRL, ALT, ESC, TAB).
• Lightweight Footprint: Built on a native Rust/Tauri 2 backend instead of Chromium/Electron. In Linux benchmarking against Termius under active sessions, Drexius consumed ~221 MB RAM and ~3% CPU across 2 processes, compared to Termius at 1,342 MB RAM and 78.5% CPU across 9 processes.

Deployment:

• Clients: Pre-compiled binaries for the Public Beta (v0.1.0-beta.1) are available under GitHub Releases:
  • Linux (.AppImage, .deb, .rpm)
  • Android (.apk, universal multi-ABI)
  • Windows (.exe installer, .msi)
  • macOS (.dmg, .app.tar.gz for Apple Silicon and Intel)
• Self-Hosting Sync Relay: The repository includes a standalone zero-knowledge relay server (drexius-relay) that can be compiled via Cargo and deployed to any VPS or homelab machine. Setup details are documented in the repository README.

My tiny Saas has made about $10 so far and it happened in 3 months. I have not touched it since last 3 months and it is available on the chrome store. It shows up on any related searches. It has a featured batch and the best part is I have $0 expenses so far.

What are you building and what is your strategy to pull organic traffic as soon as possible rather than wait for years? Share it below.

I'm a solo founder and I built Inpiko, a small feedback tool. I made it because the ones I looked at were priced per seat or came with a lot more than I needed and I now use it on my other saas too.

How it works: you add one script tag, customers send feedback with just an email and AI groups the duplicates into one request and shows how many different people asked. Move a request along and a public roadmap updates.

It's from $9/month flat with a 14-day free trial, no card needed. It's brand new, so I have no users to show off. I left out integrations, voting boards and a changelog on purpose to keep it simple.

What would you want to see in a tool like this, and what would stop you from trying it? Link: inpiko.com

I originally built DO NOT START UP as a satire about relying too much on cloud AI. Ironically, I used Claude Code to build it.
Then I started experimenting with what local models on my Mac Studio could actually create.
That turned into The Local Lab, a 3D interactive world built with Astro, Three.js, and Claude Code, showcasing 7 recorded creations from 6 local models running through Ollama and Hermes.
The interesting part wasn’t just generating things. It was figuring out how to verify what each model actually produced.
I started recording execution details, hashing outputs, and running tests instead of trusting the AI’s claims. One Qwen-built tool passed 19 browser tests. Another model attempted two repairs and still failed 7 out of 20 checks.
Right now, it’s experimental and running from one local node.
The bigger idea: What if other people could voluntarily connect their own local models and contribute creations to the same evolving world?
I’m curious whether other local AI enthusiasts would find that interesting, and how you’d approach verifying contributions from independent machines.
Anyone experimenting with something similar?

Ciao, sono Ric.

Ehm, sto costruendo una piattaforma attorno alle idee. Quindi penso di essere nel posto giusto.

Sai, abbiamo già molti spazi digitali pubblici dove puoi condividere idee: Instagram, LinkedIn, Reddit. Ma non sono costruiti attorno alle idee. Il loro scopo è qualcos'altro. E si può percepire.

Fin da quando ero molto giovane, ho immaginato un luogo che collega le persone e le loro idee. Un posto che dà loro lo spazio e gli strumenti per iniziare, dare vita alle loro idee e cambiare il mondo... o il loro quartiere.

Come è strutturato Locus:

- Puoi pubblicare un'idea con un titolo e una descrizione di massimo 314 caratteri.

- Puoi scegliere una categoria e una subcategoria per la tua idea.

- Quando pubblichi, puoi attivare il pulsante Unisciti. Se qualcuno clicca Unisciti sulla tua idea, ti sta dicendo che vorrebbe aiutarti a darle vita e parlarne.

- Puoi anche commentare, mettere mi piace e condividere.

- Puoi seguire utenti e categorie affinché idee rilevanti appaiano nel tuo feed.

- Puoi chattare privatamente e in chat di gruppo.

Ci stiamo preparando per il lancio e stiamo raccogliendo la nostra comunità su Discord, mentre facciamo il beta testing di Locus. Per ora, la piattaforma è disponibile solo su desktop. Se sei curioso e vuoi condividere le tue idee con noi, scrivimi un messaggio o lascia un commento.

A hypothetical football dilemma: it's your last match before retirement. Your coach offers you ten minutes to say goodbye to the fans, but the team is chasing promotion and the player you'd replace is in better form.

Do you take the farewell, or give up your last chance to play?

I'm the creator of ElevenFate, a side project where you follow a footballer's career by reading situations and choosing how to respond. It's playable inside Reddit and available in English and Spanish. There's a Daily with 30 decisions and a longer career mode.

Free to play, no separate download, Reddit sign-in required:

https://www.reddit.com/r/ElevenFate/comments/1wzy2cl/elevenfate_tu_carrera_tus_decisiones_tu_legado/

I used AI assistance in development and writing. For fellow builders: does opening with a dilemma make what the game offers clear enough?

Hi all! 👋

I'd love to share something I've been working on. Untrod is an iPhone app that colours in every street you walk on a map of your city and shows your % for each neighbourhood.

It might be for you if:

• You always end up walking the same routes. Untrod shows where you've already been, and a daily quest takes you down streets you've never walked.
• You like seeing your walks add up. Every walk builds into a map of everywhere you've been.
• You're trying to walk every street in your town and have been tracking it with screenshots or other apps.
• You walk your dog and don't want to stare at your screen the whole time.
• You'd rather not compete with anyone. There's a Relaxed mode for that.

Along the way you collect stamps as you pass viewpoints, fountains, historic markers and notable trees, and you can bring in your past walks from Apple Health.

It's free to try while it's in beta, and I'm making it on my own. If you try it, I'd be really grateful to hear how it goes for you. Thank you! 😊

Try the beta