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60 projects
AI learns your voice to write and schedule daily X posts automatically.
@Shahzebsolodev · X
grow you X on autopilot (Almost done building. Giving the finishing touches)
AI widget that answers customer support questions from approved sources on your website.
@titask420 · X
AI companion that learns from your interactions and autonomously completes tasks or works with you.
@cyrus_zad · X
Explore community-reviewed AI prompts organized by tool, category, and workflow.
@Utsabpanday · X
Type a topic to generate a finished documentary video in under a minute using AI.
pw · HN
Hiya! So I've been playing around with having Claude make videos for a bit now even had some success posting the results to TikTok (and setup a whole pipeline so Claude can generate and post autonomously). With the release of Nano Banana 2 Lite, I was curious show fast I could make the generation, so last night I gave it a whirl and got down to around 30s for short-form video. It uses GLM-5.2 fast via Fireworks to generate the scripts and image prompts and, like I said, Nano Banana 2 Lite for the images, gpt-4o-mini-tts for the narration, and ffmpeg to string it all together and add the Ken Burns zoom effect (which still has a shake I haven't been able to get rid of). The video compilation proved to be the blocker once the rest was in place, but I was able to speed that up by putting it on a 64 vCPU EC2. The cost might be the most interesting aspect as the short form videos tend to be about 25 cents. Almost 90% of that is the images, which are 3.336 cents a piece. Of course, running
Embeddable AI chat widget that answers customer support questions using your documentation with cited sources.
@dhruvkumar1805 · X
AI-powered code review that runs code in microVMs to catch more bugs.
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db
Answer questions to generate structured AI prompts for ChatGPT, Claude, Cursor, and other AI tools.
@askjames_co · X
Give AI agents a structured way to request human approval with safe retries and verification.
@GetAgentHail · X
AgentHail — a control layer for AI agents to request approval, execute work, and return verifiable results. Would you sign up or leave?
Call AI replicas of human experts trained on their knowledge to get expert advice.
@callable_com_ai · X
create your digital twin with your knowledge base for others to call (and make money?)
Create AI-powered product roadmaps, manage tasks, and collect feature feedback.
@jimmy_harika · X
TLDR: Notion shipped my exact app that I have using in my daily workflow from last 2 years. Try here: It got a mcp that wires to your claude code and codex. Git integration is almost complete and will ship in coming days
Paste URLs to get AI transcriptions and summaries organized on an infinite canvas.
@trytacit · X
Building TACIT to stop stop saving and start applying
