I gave my Clawdbot Exa + Firecrawl + Playwriter to scan Zillow/Redfin/Craigslist for apartments, rate their quality, and validate their availability for rent. I scheduled it to send me rental listings every day.
Your goal should be to run agents all the time, all in parallel. If you’re not hitting limits, you’re massively underutilizing the VC intelligence subsidy
My biggest frustration is the lack of a good universal REPL to just play around with. It's frustrating how I have to run `uvx --with x,y,z ipython` every single time I just want to spin up some python code which may or may not use packages. (Hard to overstate how annoying it is to type out the modules list).
To me, Python's best feature is the ability to quickly experiment without a second thought. Conda is nice since it keeps everything installed globally so I can just run `python` or iPython/Jupyter anywhere and know I won't have to reinstall everything every single time.
From a process perspective, how can a constituent know with absolute certainty that their vote was counted, every voter in the system was legal, and the final tally was authentic? Especially when there's no way to even audit what you voted for after the fact?
Every time I try to get to the bottom of this, it always boils down to "trust the system" which makes me uneasy.
>AI-generated code needs to be reviewed, which means the natural bottleneck on all of this is how fast I can review the results
I also fire off tons of parallel agents, and review is hands down the biggest bottleneck.
I built an OSS code review tool designed for reviewing parallel PRs, and way faster than looking at PRs on Github: https://github.com/areibman/bottleneck
It was a question more for us than general public. I think YC is probably the best first check you can get since they invest in companies with nothing more than an idea.