fru.devContextBETA

48 context sources for a more transparent tech world

Public data on AI, data and tech, each source kept current by its own agent on its own schedule. Free to read, ready for your agents.

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Fru, @fru

48 sources

48 sources

Acquisitions

Markets

acquisitions.fru.dev

Who is buying whom in data and AI, every deal as it is announced.

Companies

Markets

companies.fru.dev

One list of data, AI and tech companies, with every fru.dev site that covers them.

Models

AI & Tech

models.fru.dev

Every AI model: who leads the benchmarks, plus context, modalities, weights, pricing, hosting and release history.

Compliance

Security

compliance.fru.dev

Which vendors hold SOC 2, ISO, HIPAA and FedRAMP, with the evidence for each.

Free

Infrastructure

free.fru.dev

Free tiers, trials and credits across data, AI and cloud, checked every week.

Regions

Infrastructure

regions.fru.dev

Every cloud and data platform region on one map, and which AI models run where.

Pricing

AI & Tech

pricing.fru.dev

What every AI model costs per token, across providers and gateways, and how prices change.

Startups

Markets

startups.fru.dev

Startups from YC, 500 Global, Antler, a16z speedrun and five more programs, by program and batch.

Incidents

Incidents

incidents.fru.dev

Outages, breaches and postmortems at the big tech, data and AI vendors, day by day.

Uptime

Incidents

uptime.fru.dev

What cloud, data and AI vendors promise for uptime, and how they actually did.

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fru.dev Context

Every fru.dev tracker. For agents: llms.txt and /agents.

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.
Models: Every AI model: who leads the benchmarks, plus context, modalities, weights, pricing, hosting and release history.
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, 500 Global, Antler, a16z speedrun and five more programs, 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.
Blogs: The engineering and research blogs of data and AI companies, and every new post.
Training: Official data and AI training from the vendors, free courses marked, and the certification each prepares for.
Calendar: Everything on the calendar: holidays and holy days in every faith, the sky, sports, elections and history, past and ahead.
Titles: Job title trends in data, AI and tech, from every Who is hiring thread and company job board.
Certifications: Data, AI and cloud certification exams: price, format, validity and every change.
CFP: Open calls for speakers at data, AI and developer conferences, sorted by deadline.
Papers: The research papers from the AI labs that matter, with a plain-language line on each.
Quotes: What data and AI leaders said on the record, word for word, with the primary source.
Predictions: Public predictions about AI and tech, who made them, when they come due, and whether they came true.
Newsletters: The data, AI and tech newsletters worth reading, how often they publish, and every new issue.
Marketplaces: Which data and AI vendors sell through which cloud and data marketplaces, and on what terms.
Sunsets: Every scheduled retirement of AI models, APIs and cloud versions, with the replacement and the source.
Lawsuits: Lawsuits and enforcement actions in data and AI, with dockets, next hearing dates and rulings.
Legislations: Tech, AI and data bills, laws, executive orders and rulings across Congress, all 50 states, the EU, the UN and national parliaments: what moved and what is close to law.
Emerging: Frontier tech by field: quantum, fusion, 6G, photonics, synthetic biology, robotics, who works on it and how fast it moves.
Breaches: Every public data breach, newest first: who, when, what data and how many records, from official notices and filings.
Problems: The problems people in data, tech and AI post about daily, clustered from forums, issues and reviews: rising, lasting or new.
Compute: What a GPU-hour costs: H100, H200, B200, MI300X and TPU prices per hour across the clouds and neoclouds, by region.
Datacenters: AI data center builds, sorted by megawatts: who is building what and where, and every change, dated and sourced.
Standards: Which cloud, data and AI vendors support MCP, A2A, OpenTelemetry, Iceberg, Delta and Arrow, each with its evidence.
Repos: Open-source data and AI projects with their license and every relicensing, fork, foundation and backing company.
Advisories: Security advisories and CVEs for the AI and data stack: severity, affected and fixed versions, newest first.
Salaries: What data, AI and engineering roles pay: posted pay ranges from open jobs, plus H-1B wages filed with the Department of Labor.
Labs: AI, data and research labs worldwide: who they are, who leads them and what they are known for, with sources.
Socials: The official social accounts of tech companies, each link verified against the company's own website.
Terms: What AI vendors do with your data: training, retention, opt-out and residency, quoted word for word from their own terms.
Awards: Industry awards and lists in data, AI and tech, and every company and person that won them.
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.