@rahilp3Innovator, Independent
Driving adoption of tools
I have developed Second Brain over several months, achieving some momentum, including multiple third-place Product of the Day honors on Product Hunt, plus more than 120 forks and 800 stars, yet I am unsure how to increase its public visibility. I recognize there is no simple solution, but I would appreciate guidance from the experts here.
opensourcememory
Comments3
Rahul -- which AI tools are you working on driving adoption for?
Wow! This is the fastest response ever! Looking to drive adoption for Second Brain, thesecondbrain.dev | github.com/rahilp/second-brain-cloudflare
Congrats on 800 stars, that's real traction. One thing I learned building a dev-facing SaaS: stars and PH don't compound, search does. A few things that worked for us: (1) one landing/docs page per use case people actually type, e.g. "persistent memory for Claude", "share context between ChatGPT and Cursor", "MCP memory server", instead of one README trying to cover everything; (2) honest comparison pages vs the alternatives people already search for (mem0, Letta, built-in ChatGPT memory); (3) a couple of tiny free tools around the problem, they pull organic traffic and links on their own, for us free tools bring more search visitors than any other section; (4) check whether ChatGPT/Perplexity mention you for those queries, LLMs lean heavily on docs and GitHub READMEs, so a clear "what it is / who it's for" paragraph at the top helps more than you'd expect. If you want, I can run your domain through our free SEO Radar check and share what it sees.
3 comments
Rahul -- which AI tools are you working on driving adoption for?
Wow! This is the fastest response ever! Looking to drive adoption for Second Brain, thesecondbrain.dev | github.com/rahilp/second-brain-cloudflare
Congrats on 800 stars, that's real traction. One thing I learned building a dev-facing SaaS: stars and PH don't compound, search does. A few things that worked for us: (1) one landing/docs page per use case people actually type, e.g. "persistent memory for Claude", "share context between ChatGPT and Cursor", "MCP memory server", instead of one README trying to cover everything; (2) honest comparison pages vs the alternatives people already search for (mem0, Letta, built-in ChatGPT memory); (3) a couple of tiny free tools around the problem, they pull organic traffic and links on their own, for us free tools bring more search visitors than any other section; (4) check whether ChatGPT/Perplexity mention you for those queries, LLMs lean heavily on docs and GitHub READMEs, so a clear "what it is / who it's for" paragraph at the top helps more than you'd expect. If you want, I can run your domain through our free SEO Radar check and share what it sees.