Habz
Track and share your habits with the world
Habz launched on May 21, 2026 with 2 votes, #6,288 of 20,538 launches that month. The site was not reachable when checked in September 2026.
What it does
Habz is a straightforward habit calendar where you can track your daily goals without any extra clutter. The twist? You can share your progress on a public feed. You can post photos of your wins, see what everyone else is working on, and hype each other up with reactions and comments. It’s built for people who want to stay consistent but actually have a bit of fun doing it.
Does a similar job
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Habster - Habit Builder & Tracker App2023 · apps.apple.com · ▲66The all-New and straightforward way to form healthy habits!
- HAHabby – A straightforward bullet journal with habit tracking2025 · habby.day · ▲63
Heya HN, I started journaling about a year ago and recently landed in my perfect setup, a simple sentence to remember each day, combined with a flexible habit tracker. Over the holidays I turned this approach into a free expo app that I want to share. Basically, you get: - One sentence per day, enough to remember each day. - Flexible habit tracking (still working on finding the best UX here) - No backend, no tracking, all in device (just sentry for errors) - Clean, minimal interface - Export your data - Stats to track your progress I built this primarily for my own use, but I'd love to hear…
Ultimate Daily Habit Tracker2023 · 1amitarora.gumroad.com · ▲91Track your day, week, & month with this simple habit tracker
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Source: Product Hunt launch ↗
Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
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