Education5 days ago
LensaSim — Process Simulation for Everyone
Design and simulate chemical processes with AI assistance for education and research.
@IbehOmodolor · X
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60 projects
Design and simulate chemical processes with AI assistance for education and research.
@IbehOmodolor · X
Track burn rate, runway, and department spend to generate investor-ready PDF reports.
@greenlinebudget · X
financial tool for startups:
Content workspace that automates production pipelines through conversation with Astrono AI.
@wesselsHQ · X
Explore a 3D showcase of AI agent orchestration with real-time project health metrics and live logs.
@patologico · X
Track links and QR codes, create bio pages, and pitch to sponsors with verified engagement data.
@saifcodes_exe · X
AI-powered virtual data room that transforms documents into guided experiences for deal teams.
@Puneeeeeeet · X
We help brands go viral on X with organic video campaigns that people actually want to watch. wanna try for
Build and run ML workflows in an agent-native cloud notebook with evaluation tools.
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter
Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]
Read or listen to AI research papers from arXiv in bite-sized summaries.
MediaSquirrel
Track your learning progress and project development as a developer.
@Dev_code_04 · X
Search YouTube channel transcripts to research content and build fair-use clips.
@johncalvo · X
Built an entire YouTube research platform with @AnthropicAI Claude Code. a YouTube research tool that treats entire channels as a searchable transcript database rather than individual videos. Any YouTube channel. Every word. Fully searchable. Track how topics trend, peak, and evolve across hundreds of videos. Researching what someone said on YouTube means watching hours of footage and hoping you find it. ChannelScout extracts full transcripts from any channel, makes every word instantly searchable, and tracks how topics trend over time, without watching a single video manually. Paste a YouTube channel or playlist URL and it transcribes and indexes every transcript. Follow multiple channels and they all land in one private library. New videos on followed channels are auto-transcribed and added to your library the day they publish. Beyond YouTube it accepts any yt-dlp-supported URL including Vimeo, TED, and SoundCloud, and you can upload local files directly
Collect feature requests, let users vote, and publish your roadmap updates.
@TimoBuilds_ · X
building up to leading SaaS for solo-founders to close the feedback-loop to their customers what are you building rn?