@DivyanshT91162: I think GitHub repos are quietly replacing half the SaaS industry. This one turns a prompt into a live dataset. Type: "…

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Summary

Promotes a GitHub repo that lets users describe a dataset in natural language and have AI agents research the web to build a structured table, exportable to CSV, with automatic refreshes.

I think GitHub repos are quietly replacing half the SaaS industry. This one turns a prompt into a live dataset. Type: "List B2B SaaS tools with a free plan." The repo sends agents to research the web and comes back with a structured table containing: → tool name and category → free plan details → pricing page links → sources for every row Export to CSV. Enable automatic refreshes. Keep datasets updated without touching a scraper. Competitors, pricing, research papers, leads, market maps — if it exists on the web, you can turn it into data with a prompt. No scrapers. No proxies. No complex setup. Just describe the dataset you want. The repo builds it for you. 100% open source. Self-hosted. Bring your own keys. Repo
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Cached at: 06/03/26, 03:52 PM

I think GitHub repos are quietly replacing half the SaaS industry.

This one turns a prompt into a live dataset.

Type:

“List B2B SaaS tools with a free plan.”

The repo sends agents to research the web and comes back with a structured table containing:

→ tool name and category → free plan details → pricing page links → sources for every row

Export to CSV.

Enable automatic refreshes.

Keep datasets updated without touching a scraper.

Competitors, pricing, research papers, leads, market maps — if it exists on the web, you can turn it into data with a prompt.

No scrapers. No proxies. No complex setup.

Just describe the dataset you want.

The repo builds it for you.

100% open source. Self-hosted. Bring your own keys.

Repo

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@hnshah: https://x.com/hnshah/status/2066761276945211442

X AI KOLs Timeline

Hiten Shah reflects on how AI is transforming GitHub from a repository of evidence into an environment where non-coders can apply product judgment directly to software workflows, bridging the gap between customer understanding and code.