<2024-07-13 Sat>
The first Clojure Solopreneur meetup had 8 participants and lasted for around 3 hours!
We started with an introduction round where everyone introduced themselves and what they’re working on. Then we ended with some open conversation.
During the stream a Slack channel #solopreneur was created which as of writing has 19 (!) members 😅. There seems to be a lot of interest so I’m planning to host a continuation <2024-07-20 Sat> 19:00 UTC. The plan for that one is TBD so suggestions are greatly appreciated! If anyone wants to hold a presentation or something, please do say so in the channel 😄.
I’m writing these notes after the fact, so my memory of each presentation is so so. I think it’s best if each presenter writes their own summary, so feel free to PR a summary of your intro down below :^). If you’re not familiar with org syntax, just write in plain text and I will fix any markup issues.
- Olav
I talked about my SaaS https://anymentions.ai, which is a tool to connect startups with the people who’s problems they’re trying to solve. Concretely, it notifies users whenever a post matching a given problem description is posted on Reddit.
AnyMentions originated as an internal tool I built for a previous startup saas, we where working on the problem of landlord/tenant conflicts, and therefore wanted to reach out to everyone on Reddit talking about this. I thought to myself “it wouldn’t be too hard to build a little Clojure thing to ping us whenever someone posts about this” and I had it working within the week.
Turning it into a proper product is another story entirely 😅
<2024-07-20 Sat>
More people came by to introduce themselves! Ended with some live programming.
<2024-07-27 Sat>
Casual meetup. We talked about what’s new with our projects. Gagi and Hadil stayed and helped me with some optimization, which was quite fruitful:
(with-out-str
(time
(def vec:result (mapv #(apply cosine-similarity %) vec:benchmark-data))))
"\"Elapsed time: 4978.064417 msecs\"\n"
(with-out-str
(time
(def double1:result (mapv #(apply double1:cosine-similarity %) double1:benchmark-data))))
"\"Elapsed time: 51.028519 msecs\"\n"