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Open vector database & trustless marketplace protocol for AI datasets
ai-technologyarts-mediaeducationopen-infrastructure
I'm making platform to dramatically cut AI development cost for small businesses by letting them collaboratively create advanced machine learning datasets. The ‘Github’ for AI data.
Bagel empowers resource-limited teams to build state-of-the-art AI models and apps, that can rival giants like Google & OpenAI, all without needing huge initial capital. It's a step towards democratizing the AI industry.
Within 30 days of its beta release, BagelDB has already seen over 2000 unique users. Our small but expert team of data scientists and engineers, experienced in building planet-scale AI infrastructure, are actively refining the product.
I'm Bidhan, BagelDB's founder. With a background leading AI infra for Amazon Alexa, managing Instacart's large-scale data, and serving as a tech lead at Arweave, my unique mix of AI and data infra expertise has shaped BagelDB's innovation.
No displayed figures preserved for this project.
Season totals as displayed on the platform's public accounting — not a statement of amounts paid out. V2 = Venus sales + Venus extras. The original page also broke each season down by fund drive and showed an Available (unclaimed) balance; that level of detail survives only on the preserved snapshots.
Leaderboard page (offline): https://artizen.fyi/projects/bagel
Wayback: leaderboard page ↗ · Wayback: platform page ↗
Not recovered: creator, tags, links, funding, drives, submissions, snapshot. Sources: "snapshot" = verbatim Internet Archive page · "platform metadata" = archived artizen.fund page metadata · "leaderboard" = the artizen.fyi public accounting tables · "match catalog" = the platform's public fund-matching catalog (captured 2026-10-15, generated 2026-09-07) · "community catalog" = a June 2026 platform scrape preserved in a community repo.