
Polyglot, CLI + WEB + FOSS ♥'r EM @paypal Google Developer Expert @TC39 delegate Google LaunchPad Mentor Community Leader @duckduckgo
California
Joined March 2008
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Thank you @googlegemini && @GoogleDeepMind team for the early access to Carbon, it has been an enabler! <3
Here everything that I baked with Carbon, 490 Sessions, 24 Builds 🫣
h3manth.com/scribe/baking-wi…
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Hemanth.HM retweeted
I got a 1.9B model to watch a restaurant camera and tell staff which tables need cleaning 🍽️
It runs on my laptop. No cloud, and it generates zero tokens.
Built over a weekend with @liquidai d1-2B
Built AgentWire because sharing an agent across MCP, A2A, and OpenAI SDKs kept turning into glue code.
Wire a prompt + remote MCP server + SKILL.md into one live URL:
-> MCP JSON-RPC (/mcp)
-> Google A2A v1.0 (/api/a2a)
-> OpenAI v1 (/v1/chat/completions)
-> 4ms edge overhead
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Live studio: h3manth.com/ai/agent-wire/
GitHub (MIT, Node + Cloudflare Workers): github.com/hemanth/agent-wir…
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Over the weekend I wanted to watch my blog age from 2009 to 2026, so I baked Wayback Reel.
Paste any domain: it collapses the Wayback CDX index to 1 snapshot per year, builds a scrubbable contact strip, and encodes an H.264 MP4 in your browser via FFmpeg WASM.
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Try it live: h3manth.com/fun/wayback-to-r…
GitHub (MIT): github.com/hemanth/wayback-t…
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So I picked up the recordings from @NASA's The Voyager Golden Record and gave them a new look!
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Hemanth.HM retweeted
Dream come true for me: I built Ninada, an in-browser 24 kHz TTS for Classical Sanskrit, English & 10 Indic languages.
48 device-aware voices: 27.9 MB HiFi-GAN (89ms WebGPU) & 21.7 MB mobile iSTFTNet (538ms phone WASM), <15ms VITS split, 3.09-3.22 dB MCD.
Dream come true for me: I built Ninada, an in-browser 24 kHz TTS for Classical Sanskrit, English & 10 Indic languages.
48 device-aware voices: 27.9 MB HiFi-GAN (89ms WebGPU) & 21.7 MB mobile iSTFTNet (538ms phone WASM), <15ms VITS split, 3.09-3.22 dB MCD.
Try it live in your browser (100% private, cached offline): h3manth.com/ai/ninada/
GitHub (MIT, npx ninada / pip install ninada): github.com/hemanth/ninada
48 ONNX weights: huggingface.co/gnumanth/nina…
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Scanned 49.3M Hacker News comments to see what movies & documentaries HN actually watches.
Fun bug: stopping Solaris from matching ZFS, Threads from matching pthreads, and Idiocracy jokes from taking #1.
Try the obscurity slider for hidden gems:
hnmovies.org
hnmovies.org/ 2,280 movies and documentaries distilled from 20 years of HN! 🫣
Weekend hack: HackerTube. I was annoyed with YouTube's recommendations so I had Claude filter down 43M comments over 20 years of HN to 6,454 videos that keep being recommended. *Significantly* better viewing experience, ~2 hours with Opus 5.5:
hackertube.org/
- Excellent recs without any logins (state is kept in local browser session)
- Thumbnail is a representative frame from middle of the video instead of the super duper A/B test hyper-optimized user uploads
- Underlying data from the comment analysis as one zip file, point your Claude at it and ask for your own version
- HackerTube Longs ✊
A bit more on the process:
I use Claude Code (desktop app for Mac), Opus 5.5 on Medium effort as my default. I only talk to Claude and have it do everything, the only "manual work" I helped with in tandem was in the browser (reminiscent of MenuGen): 1) I had to create some kind of API key from Google Cloud UI to query YouTube for video metadata, 2) I booted up a VPS box for serving and 3) I bought the domain name. Once the box was up I gave Claude the IP and told it update, secure, harden, deploy and optimize the code, and it did the whole thing.
Many awesome projects that would have normally taken weeks/months even can now be few-shotted for breakfast. What else are we not thinking of.
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Baked Grimkin for Halloween 🎃
A 3D Jack-o'-Lantern carving studio: spin 360°, carve from a plain gourd, stamp faces, swap cursed flames, and drop eyes that track your cursor.
Carve yours → h3manth.com/fun/grimkin/
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Fake-positive affirmations backfire under stress (Wood 2009). Value-based ones calm your stress alarm (Cascio, PNAS 2016).
Built 100% in-browser on 10 science lenses:
- @LiquidAI_ LFM3-Omni-2B (text + 24kHz TTS)
- SmolLM2 + Kokoro mobile fallback
Try: h3manth.com/ai/affirmations/
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Thank you @ClaudeDevs for sending me this plushie 🫶
Let me see if this will be my new rubber duck or ESSA!
Maybe I'll trying giving it a voice 🤓
(P.S: photo is from my backyard)
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