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Hi HN, maker here.

I built MapMates because I moved to Bangkok and realized how hard it is to find your people when you're new somewhere. LinkedIn felt too formal, dating apps weren't right, and Facebook groups are just noise.

The idea is simple: drop a pin where you are, say what you do (founder, developer, designer, etc.), and see who else is nearby. If someone looks interesting, send a connection request with a message. If they accept, you can chat. Some technical decisions:

- No signup required. I use Supabase anonymous auth combined with a device fingerprint hash. Your pin is tied to your device. If you clear your browser, you can recover it via email (if you added one) or a recovery code.

- Location is intentionally fuzzy. Pins are snapped to ~1km precision. Close enough to find people, not precise enough to be creepy.

- Rate limited connections. 10 requests per day. Forces you to actually read profiles instead of mass-messaging.

- Built with Next.js, Supabase, and Mapbox. Deployed on Vercel. The whole thing is pretty lightweight.

The target audience is digital nomads and expats - people who move a lot and need to rebuild their network every few months. Would love feedback from anyone who's been in that situation.

Happy to answer any questions about the tech, the target audience, or why I made certain decisions. Would love feedback on what's working and what's not.

thank you!


I’ve been building, launching, and documenting a bunch of SaaS tools over the last few years. After 100+ experiments, the vast majority were good but optional- meaning people tried them once, then moved on.

In reading back over what did stick and what quietly faded, I noticed a pattern:

The winners don’t just automate tasks - they automate decisions, embed into workflows, reduce cognitive load, and earn trust over time.

In my latest article, I share what I think will work in SaaS in 2026, and what I think won’t - not theory, but patterns based on real product outcomes.

Key themes you might find interesting: - Products that decide what to do next, not just show data. - Tools that run in the background and plug into existing workflows. - AI used as infrastructure, not as a hype label. - Why many standalone dashboards and single-interface outputs will struggle.

I would love to hear what HN thinks: - Do you agree with these predictions? - What SaaS trends do you think will matter most by 2026? - Am I missing anything?

Looking forward to the discussion!


Hi HN I built Tera.fm because I wanted a calmer way to keep up with tech news without scrolling feeds all day.

It turns Hacker News + tech headlines into a continuous, radio-style listening experience that updates through the day.

Would love feedback on whether this kind of “internet radio for news” is useful or if it feels redundant.


I built Feelr because performance tools tell us what is slow, but not what that slowness actually feels like to a user.

Paste a URL and Feelr replays the page load as a sensory experience: DNS, TLS, TTFB, HTML parsing, JS execution, and third-party scripts are expressed through timing, interaction resistance, and optional sound / haptic cues.

The goal isn’t measurement accuracy or optimization advice — it’s intuition. After using it, you start noticing where “heavy” actually comes from.

There’s also a simple Compare mode to feel two sites back-to-back.

No signup. No accounts. Minimal data. Just a small experiment.

I’d love feedback from people who think a lot about performance.


I built this a browser-based voice-to-text tool supporting 35 languages. The interesting part isn't the tool itself. It's the traffic.

Over 3 months: - Bing: 434 clicks, 12.1K impressions - Google: 42 clicks, 2.5K impressions

I didn't do anything special for Bing. My best guess: ChatGPT uses Bing for search, and my language-specific pages (Bengali, Hindi, Tamil voice-to-text) rank well there.

The tool: Free tier uses Web Speech API (audio goes to Google/Microsoft servers, not mine). Pro tier uploads files to AssemblyAI for transcription.

Nothing groundbreaking technically — just a clean UI on existing APIs. But the Bing/ChatGPT traffic pattern surprised me.

Anyone else seeing similar Bing > Google patterns?


We’ve been building an audio-first way to consume news.

Early on, we optimized for coverage:- more sources, more stories, more updates.

What surprised us was usage. People didn’t finish longer briefings. They skipped around. They left.

When we switched to fewer stories, calmer tone, and predictable length, completion rates went up.

That led us to experiment with curated, single-purpose channels (morning focus, ADHD-friendly audio, short reflections).

It’s still early, but the lesson for us has been: reducing choice and urgency mattered more than adding features.

Curious if others building content or media products have seen something similar.


I built this because writing the same content differently for LinkedIn, Twitter, Instagram, etc. was taking too long.

Paste a URL → AI reads the page → Generates platform-specific posts.

Stack: Next.js, Claude API, Upstash Redis, Vercel.

Free to try (3 generations). Would love feedback on output quality.


Hey HN!

I built Tera.fm because I wanted to catch up on HN while commuting but never had time to scroll.

It fetches top stories, summarizes them with key points from the comments, and reads everything aloud like a radio station.

How it works: - Pick a channel (Top, New, Best, Ask, Show) - Hit play - Listen while commuting, cooking, or at the gym

No login. No ads. Free.

Would love feedback on the summaries and audio quality. What other channels would you want to hear?


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