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BidClub

Turns investment and tech podcast episodes into searchable written summaries covering key claims, risks and catalysts.

At a glanceswept 2026-10-12

≈ 28visits/mo

Little sign of use · estimate, read 2026-10-12

  • BidClub28
  • #1 Adobe240M
  • Creative & media median74
For
investors and analysts who want to mine finance podcast discussions for research
Price
Price not read
Activity
Actively maintainedsite updated 3 days ago
Company
Domain since 2026domain registered
What people do with it
  • search podcast episodes by topic, show, or company
  • read summaries of finance and AI podcast episodes
  • filter episodes by duration, language, and date
The companyeach fact with its source · read 2026-10-14
  • Domain since2026domain registered
How a program reaches itfound, not claimed · read 2026-10-13
  • MCP serverai.bidclub/bidclubverified in the MCP registry
  • Stateanswers, 6 toolschecked 2026-10-13
  • Address to connectbidclub.ai/api/mcp
  • OpenAPI spec14 pathsthe spec ↗
  • API docsbidclub.ai/api-docsthe vendor's page ↗

MCP server details →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Creative & mediaby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

All Creative & media tools →

Questions this page answers
  • What is BidClub?

    Turns investment and tech podcast episodes into searchable written summaries covering key claims, risks and catalysts. It is listed in the Atlas under Creative & media.

  • Who is BidClub for?

    investors and analysts who want to mine finance podcast discussions for research

  • Do people use BidClub?

    Little sign of use: ≈ 28 visits/mo · estimate, 2026-10.

  • Is BidClub still maintained?

    Actively maintained: site updated 3 days ago.

  • What are alternatives to BidClub?

    In Creative & media, by use: Video Marketer by Memories.ai, LilysAI, Face Search, Raster, MemX, MelodySeek.

Not quite it? Describe the job

beta

Five tools from the Atlas that fit it, each judged against what you wrote.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.