hi everyone, this is my introductory post :)
me:
> Founding GTM @ moonshot - building your personal proactive ai. (prev opentrade)
> Ex KPMG (automated lot of internal boring processes)
> Founder @ Cssoc (my uni's first ever comp sci society)
> 2x hackathon winner
>> Won "best use of data" by Hudson River Trading
>> Winner of "best team under 22" out of 400 teams
>> HackEurope Scholar 50/4400+
> alot more shenenigans - DM me to chat :)
everyone running reddit sorts by new and races twenty other people to a post that dies in a week
meanwhile the threads from 2024 are still on page one with nobody good in the comments
wrote up the play nobody runs https://t.co/uYB5JoCkfG
@ankurnagpal the rural data center angle is interesting. the 30% step-up makes the structure more compelling, but the bigger question is which sites actually qualify as 2027 rural opportunity zones.
@ollieforsyth ollie, the 8 days saved in hiring stood out to me. that kind of time reduction probably matters a lot more to companies than another ai feature on the dashboard.
@DeonMen@tanmaigo@PromptQL the multiplayer ai angle is interesting. curious what changes when teams can actually work with the same agent instead of everyone running their own.
@codegraph the “kill the project if #3 fails” rule is probably the best filter here. if the tool doesn’t save people time, all the ai and features around it don’t really matter.
@ManWithCodes yash, saying no early probably saves more than just engineering time. custom features can quietly turn a product into a collection of exceptions.
@DhravyaShah@supermemory yeah, the tool call ordering part is wild. feels less like using an agent and more like teaching it your own workflow over time.
@bradflora building alongside users instead of from a distance probably helped them iterate much faster. especially in defense, real-world feedback can change the product quickly.