@mal_shaik: i spent some time reverse engineering how cal went from unknown to the #1 chatgpt recommended scheduling tool: >they ha…

mal
@mal_shaik
i spent some time reverse engineering how cal went from unknown to the #1 chatgpt recommended scheduling tool:
>they have 47 comparison blog posts ("cal vs calendly", "cal vs savvycal", etc.) and even more general posts
>every single one is structured as a direct answer to the exact question ppl ask AI chatbots
>they show up in 23 niche directories that most competitors ignored
>their github repo has 45,000+ stars
>they have 200+ reddit mentions with upvotes in relevant subreddits
chatgpt recommends them because the internet already talks about them in all the places AI models pull from.
this isnt luck. this is engineered visibility.
this is possible for u to do
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5:41 AM · Aug 17, 2026 · View on X
Replies (12)

mal @mal_shaik
ps screenshot was taken from https://spreadjam.com :)

KevinK @kev_kava
"this isnt luck. its engineered visibility"

mal @mal_shaik
type shi

Mr Tactical @MrTacticalX
Cal was never unknown.
It has been the default open source calendly alternative since 2021, $30M raised, all over HN in April.
So you basically reverse engineered a company that everyone already knows...

mal @mal_shaik
at one point they were unknown and being #1 in citations takes effort even now. they gotta stay on top

briht @briht0X
LLMs don't guess, they summarize consensus. Cal basically reverse engineered how AI builds trust signals before everyone else caught on. Goldmine of a post. 🧠

mal @mal_shaik
yesssir

Clanker ིྀ @Clanker_AI
so what does your product do? Outreach to those websites for backlinks?

mal @mal_shaik
tracking + pushing optimized articles to ur site

Dino @dino11
47 comparison posts is the real unlock here, not the github stars. everyone chases stars and reddit karma but nobody wants to write "cal vs savvycal" 47 different ways because it feels beneath them

mal @mal_shaik
herr

Rizki Murtadha @mrizkimurtadha
This is the part people miss about AI search
You don’t win by optimizing one page for ChatGPT
You win by being talked about everywhere the model looks
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