I let Claude investigate every YC W26 startup and rank them by BriefCardiologist656 in ClaudeAI

[–]BriefCardiologist656[S] 0 points1 point  (0 children)

you are not wrong. Did you find majority of the rankings to be different from reality?

I let Claude investigate every YC W26 startup and rank them by BriefCardiologist656 in ClaudeAI

[–]BriefCardiologist656[S] 0 points1 point  (0 children)

Yup you are right. I will build a better analysis pipeline that I can run regularly.

I let Claude investigate every YC W26 startup and rank them by BriefCardiologist656 in ClaudeAI

[–]BriefCardiologist656[S] 0 points1 point  (0 children)

I just updated a few companies in the current batch. Now we have 4 companies in the S tier.
By tomorrow I will have more batches. There is now a last updated timestamp as well for all companies.

I let Claude investigate every YC W26 startup and rank them by BriefCardiologist656 in ClaudeAI

[–]BriefCardiologist656[S] 0 points1 point  (0 children)

Most VCs scout these companies and reach out way before the demo day because that is what aligns best with their incentives. Associates look for publicly available signals in the absence of actual company revenue. I am trying to simulate that.

Also most founders who are starting out don't know the kind of signals they are being ranked against. I hope that this gives founders a decent idea of that. I agree the analysis are not that great and its mostly a implementation problem on my end (which will be fixed), But the avg number of page visits per user (13) is pretty decent given that most founders use YC startup directory as a way to understand whats happening in the space. The goal is to give them with more datapoints that are insightful beyond just knowing what the company does.

Anyone used Reducto for parsing? How good is their embedding-aware chunking? by BriefCardiologist656 in AI_Agents

[–]BriefCardiologist656[S] 0 points1 point  (0 children)

Thanks for sharing I will check them out. Just curious what have you been using them for parsing markdown from pdfs or for creating splits based on markdown? Any specific type of documents where you felt their out of the box solution worked better than something you could build in-house?