Fru, @fru
Builder. Tinkerer. Disruptor of entropy. I put AI agents to work, then ship what they help me build. Each of these directories is context I build to feed my other AI agents.
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Projects
- Prevail: A private AI harness for your life, not your job. Any model, on Mac and Windows.
- Memosa: Private memos for Mac. Records, transcribes and summarizes meetings on your device.
- Glyph: Gives every coding agent session a name you can recognise, so you can tell which run did what.
- Eso: A timeline of esoteric knowledge, where how well a date is known is part of the record.
- Acquisitions: Who is buying whom in data and AI, every deal as it is announced.
- Companies: One list of data, AI and tech companies, with every fru.dev site that covers them.
- Leaderboards: The leader of the AI leaderboards: who is #1 on every board, and who leads them all.
- Compliance: Which vendors hold SOC 2, ISO, HIPAA and FedRAMP, with the evidence for each.
- Free: Free tiers, trials and credits across data, AI and cloud, checked every week.
- Regions: Every cloud and data platform region on one map, and which AI models run where.
- Pricing: What every AI model costs per token, across providers and gateways, and how prices change.
- Startups: Startups from YC, Techstars, a16z speedrun and the other accelerators, by program and batch.
- Incidents: Outages, breaches and postmortems at the big tech, data and AI vendors, day by day.
- Uptime: What cloud, data and AI vendors promise for uptime, and how they actually did.
- Leaders: Who runs data and AI where, and every leadership move as it is announced.
- Stories: Who uses what: public stories of how companies use data and AI vendors, with renewals and losses.
- Partnerships: Partnerships between tech companies, mapped as a network that grows over time.
- Keynotes: Keynotes from the big tech events, with takeaways that jump to the moment in the video.
- Trending: What is trending in data, tech and AI each day, and how each term rises and fades.
- Funding: Who raised money in data and AI, how much, and who led the round.
- Regulations: Data, privacy and AI regulations worldwide, and every deadline they set.
- Events: Tech, data and AI conferences by company, place and month.
- Releases: New features shipped by data and AI companies, as they land.
- Earnings: Fiscal calendars and earnings dates of public tech companies.
- Paydays: Pay schedule calendars, federal pay periods and state payday laws.