Things people actually built with AI agents, pulled from Reddit, Hacker News and elsewhere. Filtered to things you could build with what you already pay for.
15 Aug 2026
Bento, an entire slide deck app inside one HTML file
What it is
A ~560 KB single HTML file that is simultaneously the deck, the editor, the presenter and the live collaboration client, with no install, no account and no cloud.
Why it is interesting
It solves the exact problem you hit with single-file sites: how do you let a human edit the content without re-running the coding agent every time. The answer is a plaintext JSON data block left uncompressed at the top of the file, so the file can rewrite itself on save and any outside tool (or agent) can splice the data directly.
How it was made
Built with Claude Code on top of reveal.js. The app code is a base64 blob that a tiny shim inflates in the browser with DecompressionStream, which is why nothing is ever fetched at runtime, while the document JSON stays as plaintext so it remains greppable. Save writes back into the same file via the File System Access API, with a download fallback. Live collab is a homegrown CRDT with character-level text merging, end to end encrypted with AES-GCM (the key lives in the file, so the file itself is the invitation), relayed through one Cloudflare Durable Object per deck used as basic pub/sub, so the relay never sees the content. MIT licensed.
What it would take you
This is your stack almost exactly: single-file vanilla HTML plus Cloudflare. The stealable pattern is the plaintext JSON block plus File System Access writeback, which would let a client edit their own copy of a one-page site without touching your code or your deploy. Free to build; the collab half needs Durable Objects, so Workers Paid at $5/month if you are not on it already. An evening for the self-saving file pattern, a weekend if you want the collab layer.
Rescript, a Descript replacement built in about four hours
What it is
A transcript-based video and audio editor that runs entirely in the browser. Drop in a video, it transcribes locally with per-word timestamps and speaker labels, and deleting words from the transcript cuts the matching frames out of the video.
Why it is interesting
The whole thing is local and offline, so no upload and no per-minute pricing, and it replaces a $24/month subscription. The author shipped it in a single weekend and then admitted in the thread it was really about four hours and twenty commits with an agent.
How it was made
Next.js, React, TypeScript and Tailwind for the shell. ffmpeg.wasm decodes the audio to mono 16 kHz PCM, then Whisper (`whisper-base_timestamped` via transformers.js, WebGPU with a WASM fallback) runs in a Web Worker with word-level timestamps, and pyannote-segmentation-3.0 in ONNX assigns a speaker to each word. On export, the kept ranges are trimmed and concatenated with an ffmpeg filter graph and re-encoded, so cuts land on the word. Needs SharedArrayBuffer, hence the COOP/COEP headers; the desktop build is just Electron setting the same headers.
What it would take you
Usable as-is for your own video work, free and offline, no account. The genuinely reusable trick is the browser-local Whisper plus ffmpeg.wasm pipeline: that same pair would give you automatic captions or a rough-cut tool for client video without paying anyone per minute. Cloning the whole editor is a weekend; wiring word-timestamped transcription into something of your own is an evening.
A support ticket that dispatches itself to your own Claude Code
What it is
A solo founder's loop where a customer bug report from an embeddable widget gets triaged, then dispatched with one click to Claude Code running on his own machine, and he approves each decision ("edit checkout.ts?") from a prompt card on his phone.
Why it is interesting
Almost everything in this space bills you per token and wants your codebase on their servers. Here the model is the founder's own Claude subscription running locally, so the vendor never sees the code and never meters the work. The phone approval card is the real unlock: it turns "I need to be at my desk" into something you can clear on the way to a shoot.
How it was made
Embeddable feedback widget stamps every report with the product and page it came from, an AI pass tags severity, priority and affected area and flags duplicates, then the dispatch step hands the ticket to a local Claude Code session and pipes its permission prompts out to a mobile client for approval. The architecture is the point: the orchestration is remote, the model and the code stay local.
What it would take you
You already have every piece. A Worker plus D1 for the ticket store, a tiny embeddable widget on client sites, and ntfy or your existing WhatsApp bridge for the approval prompts. Doing this for the Mustang and LDOT sites would mean a client reports a broken menu link and you approve the fix from your phone. Free on your existing kit. Realistically a weekend, because the approval round trip is the fiddly part.
Teaching Claude Code a new API in one line, then cloning your own voice
What it is
Someone cloned their voice from a 15 second phone recording and now has Claude Code read anything they write back to them in their own voice, as a saved audio file.
Why it is interesting
The voice clone is the headline, but the method underneath is the useful part: `npx skills add https://docs.fish.audio` points Claude Code at a vendor's docs and generates a working skill for that API on the spot. That is a general trick for any documented service you want your agent to drive, no MCP server to write.
How it was made
One line to install the skill from the docs URL, a free Fish Audio account for an API key, then plain instructions ("clone my voice from this audio file and save it as my default voice", then "read this in my cloned voice and save it as an audio file"). The whole quality question is the sample: 15 to 30 seconds, quiet room, natural speech. A noisy sample gives you an uncanny half-version of yourself.
What it would take you
Twenty minutes. Directly useful for video voiceovers without recording take after take, and it pairs with your Kling and darkroom workflow. Cost: Fish Audio's free plan is roughly 7 minutes of audio a month, which covers short pieces, so budget a few pounds a month if you start doing full narrations. Obvious caveat, only ever clone your own voice.