Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to geekspeak.app

GeekSpeak — Stop Nodding Along. Start Getting It. · ranked by shared content topics & relevance
65match
molalab.app
Molalab — Start with I don’t know
2 shared topicsartificial-intelligence
65match
pluralityai.com
Plurality — Stop asking one model. Ask a panel.
2 shared topicsartificial-intelligence
65match
shipsnipe.com
ShipSnipe — Stop Building What Nobody Wants
2 shared topicsartificial-intelligence
64match
gasio.com
Gasio Bookmark — The Ultra-Modern Startpage
2 shared topicsartificial-intelligence
64match
shilpiajit.com
Ajit Singh — Tech leader building in public
2 shared topicstechnology-and-computing
64match
dingkevin.com
Ryan Ding — Portfolio
2 shared topicsartificial-intelligence
64match
moolshankar.com
Moolshankar Tyagi — Staff Software Engineer
2 shared topicsartificial-intelligence
64match
cachetank.com
CacheTank — Skip the intro.
2 shared topicsartificial-intelligence
64match
hermes-api.dev
Hermes — Agentic listing infrastructure | Hermes
2 shared topicstechnology-and-computing
64match
revastack.com
RevAStack — From vibe coding to agentic engineering
2 shared topicsartificial-intelligence
64match
revastack.dev
RevAStack — From vibe coding to agentic engineering
2 shared topicsartificial-intelligence
63match
computingseries.com
The Computing Series — Shared engineering vocabulary for you and your AI coding agent
2 shared topicsartificial-intelligence
63match
superstringai.com
superstring AI — Bring your AI stack into the loop
2 shared topicsartificial-intelligence
63match
bazigrid.com
BaziGrid — Bazi Chart Analysis & Timing Intelligence
2 shared topicsartificial-intelligence
63match
antoniospagnol.com
Antonio Spagnol — Software Engineer & AI Automation Entrepreneur
2 shared topicsartificial-intelligence
63match
dingrentuan.com
Ding Ren — Full-Stack Engineer
2 shared topicsartificial-intelligence
63match
magdaandbots.com
Magda & Bots — Building in public with AI
2 shared topicsartificial-intelligence
63match
magnitude71.com
Musing and Rambling – tales of fevered imagineering.
2 shared topicsartificial-intelligence

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.