ok been quietly working on this thing for the past 5 months, and the reports finally hit the quality bar i was aiming for.
long story short: i built a system that scrapes a company’s site, profiles, press, and anything else it can find online, then runs it through a multi-model prompt engine i wrote from scratch (multiple LLMs chained together with custom logic). the workflow is split into three parts: crawl, process, synthesize.
output comes in markdown. all signal, no bs. useful for GTM, growth, competitor analysis, product gaps, strategic blindspots, that kind of thing.
i’ve been stress testing it on real companies. just pushed 2 sample reports to GitHub if you wanna peek:
not selling it as a product (yet). backend still in dev. just doing reports manually for now while testing edge cases/validating if anyone wants this at all lol.
note: it’s not fully automated. i use the system to generate raw analysis, then apply human input to reframe, expand, or clean up weak insights. think of it like pairing with an AI researcher who works fast but lacks nuance/context, you still need a strategist to shape the output. there's tons more feature but at the core this is it.
happy to run one or two more this week if anyone wants a teardown. not free though (token cost’s brutal lol). DM if interested.
long story short: i built a system that scrapes a company’s site, profiles, press, and anything else it can find online, then runs it through a multi-model prompt engine i wrote from scratch (multiple LLMs chained together with custom logic). the workflow is split into three parts: crawl, process, synthesize.
output comes in markdown. all signal, no bs. useful for GTM, growth, competitor analysis, product gaps, strategic blindspots, that kind of thing.
i’ve been stress testing it on real companies. just pushed 2 sample reports to GitHub if you wanna peek:
- Grab (SEA unicorn) - LemmyHomes (early-stage Malaysian proptech)
→ https://github.com/lightyoruichi/numen-output
not selling it as a product (yet). backend still in dev. just doing reports manually for now while testing edge cases/validating if anyone wants this at all lol.
note: it’s not fully automated. i use the system to generate raw analysis, then apply human input to reframe, expand, or clean up weak insights. think of it like pairing with an AI researcher who works fast but lacks nuance/context, you still need a strategist to shape the output. there's tons more feature but at the core this is it.
happy to run one or two more this week if anyone wants a teardown. not free though (token cost’s brutal lol). DM if interested.