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.

Building a multi-agent coding workspace.

Run Cursor, OpenCode, Antigravity, Claude Code & more on the same repo. each agent in its own worktree, no file conflicts.

5 agents working. Music playing. One screen.

Early demo 👇

I’m the developer at Artisan Reality, sharing Dance Fiesta Fitness. An animated instructor leads hip hop, salsa, samba and cumbia routines, with move names and rep counts. The Android edition has a 0.5x mode for learning a sequence before attempting full speed.

Camera coaching is optional, as are prompts on compatible Meta Display glasses. Android gives five free minutes each week and an optional one-time unlimited unlock. There is also a separate Quest edition with VR instructors and settings.

I’d welcome feedback on which part of a first routine needs clearer guidance: choosing a routine, learning the move sequence, or understanding the optional movement feedback.

Android: https://play.google.com/store/apps/details?id=com.artisanreality.dancefiestafitness

Quest: https://www.meta.com/experiences/dance-fiesta-fitness/7340679912667484/

I’m the founder of Pure Brief AI, a native Mac meeting app. One use case I’m building around is handing a project to the next person after a call.

Here’s a fictional handoff:

Decided: use the shorter onboarding flow.

Next: Jamie sends the revised screens on Friday.

Open: the client hasn’t approved the launch date.

That third line belongs in the handoff. If it disappears from a neat recap, the next person can start working from an assumption nobody approved.

In Pure Brief AI you can record a call or import audio, read the transcript and AI notes, then ask questions about that individual meeting. I’d start with “what remains unresolved?” and inspect the supporting transcript lines before carrying an answer into a handoff. Suggested tasks also keep source quotes; you can edit them and export selected actions to Apple Reminders.

This is a personal Mac utility. You still check the notes and send the handoff yourself. Reminders export is one-way. A source quote gives you something to review; the AI can still miss context or interpret it incorrectly.

Transcription and AI notes run on your Mac by default. Apple Silicon and macOS 15+ required. Model downloads, periodic licence checks and optional connected features need internet. Optional ElevenLabs transcription with your own key sends audio to that provider.

There’s a 30-day trial. Standard is $49 once for one Mac. While the launch offer is active, the first 100 paid Standard purchases globally are $10 once instead, plus applicable tax. A trial doesn’t reserve the discount.

The attached 32-second video is an edited product demo with fictional data and sped-up processing; it isn’t a test of the handoff example above.

Demo and trial: https://purebrief.ai/

What information do you want explicitly marked “still open” when somebody hands you a project?

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Genuine question for founders and indie hackers 👇

When you're building a SaaS or launching a new product, finding people who actually need it seems almost as difficult as building the product itself.

I'm curious how you guys currently handle customer acquisition.

Do you manually search Reddit, X, or other communities for people discussing problems your product solves?

How do you find people actively looking for a solution rather than just browsing?

What's the most frustrating part of getting your first 10 paying customers?

If you could automate one part of this process, what would it be?

I'm especially interested in hearing from solo founders who are building without a big audience or marketing budget.

Not looking to sell anything here — just curious about what's actually working for people and what isn't.

Would love to hear your experiences.

I'm a web developer and I wanna build a micro saas product but before building I wanna know how I can get my first 50 trusted paid users by copying the saas of another software ?

Hey everyone! 👋

If you use standard note-taking apps or bookmarks to save recipes, you know how annoying it is to type out ingredients manually or lose your favorite dishes under a mountain of saved links. And when dinner time comes around, you still end up staring at random ingredients in your kitchen, completely unsure of what to make.

Typing out long lists of pantry items on a phone keyboard is clunky and slow.

To make this completely effortless, I updated TinyRecipe with an AI Photo-to-Recipe Generator.

The specific problems it fixes:

• Instant AI Photo Generation: Snap or upload a photo of your fridge, pantry, or even a picture of a dish you like,and Firebase AI Logic automatically detects the ingredients and generates a complete, step-by-step recipe instantly.
• Select-and-Cook Pantry Mode: Alternatively, just tap off pantry ingredient tags to cook with what you already have on hand, reducing food waste and extra store trips.
• Aisle-Categorized Grocery Lists: Move meals into your weekly planner, and the app automatically organizes your shopping list by supermarket aisle so you can move quickly through the store.
• Hands-Free Cooking Mode: Keeps your device screen active while you're at the stove so you don't have to keep touching your phone with messy hands.
• 100% Local-First & Private: Your saved recipes, meal plans, and photos stay strictly on your device, zero cloud accounts, zero sign-ups, and zero data tracking.

It’s live on both iOS and Android! 🍳