TeardownHQ

TeardownHQ

The research layer for how startups grow.

I
@icariansystems
Published on Jul 6, 2026
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$100 MRR
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AIOperations
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Freemium from $39
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Web
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Stater Story

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How AI and people discover TeardownHQ on PeerPush

Read by AI engines 30dEngines readingHow many times AI crawlers read this listing, and which engines those crawlers belong to.
149
  • ChatGPT
  • Perplexity
  • +3 other AI crawlers

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7 days

Read by AI every day

Read by AI every day for the last 7 days.
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66 crawls

ChatGPT Search indexer

By OAI-SearchBot, the ChatGPT Search indexer, since launch.

About TeardownHQ

TeardownHQ is the research layer for how indie startups actually grew. Browse a directory of real companies with revenue and growth estimated from hard signals like traffic, headcount, and app and payment data, then open a full teardown of any one of them: how they landed their first hundred customers, the single channel that actually moved revenue, the pricing and packaging calls that worked, and where they eventually hit a ceiling. It is built narrow and current for the businesses you could actually build, indie SaaS, micro-SaaS, dev and AI tools, and no-code apps, instead of the generic startup advice you have read a hundred times. What makes it trustworthy is the part most "how they did it" content skips. Every teardown is assembled by a deep-research pipeline and run through a verification pass that checks each claim against its source and cuts anything it cannot stand behind, so you get specifics you can act on rather than self-reported screenshots, with estimates labeled honestly as estimates. The directory and a teaser of each teardown are free, a subscription unlocks the full library and the data tools, and verified founders can write their own startup's teardown and earn a share when it sells. TeardownHQ turns "how did they pull that off" from a guess into something sourced, current, and worth copying.

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Comments (1)

I
@icariansystems

Hey I am really excited to launch a product that I have been working on for a while. I have been building out a personal database of SaaS teardowns and now am sourcing that out through TeardownHQ.io!