@AIGuide_: if you're running a startup, you should have a system watching your market all while you sleep. customers, competitors,…

if you're running a startup, you should have a system watching your market all while you sleep. customers, competitors, pricing, launches, buying signals, complaints, hiring, content. here's the 24/7 research system i'd build: 1. make one research database with 6 buckets: CUSTOMERS, COMPETITORS, MARKET, PRODUCT, GTM, CONTENT. every finding needs a source, date, company/person, category + one sentence on why it was saved. 2. start with customer truth. feed it sales calls, support tickets, reviews, Reddit, G2 + customer interviews. pull exact pains, objections, desired outcomes, feature requests + the words customers keep repeating. 3. watch every serious competitor. track homepage copy, pricing, launches, changelog, job posts, partnerships, customer complaints + new positioning. save the OLD version too so you can see exactly what changed. 4. monitor buying signals around target accounts: funding, hiring, new executives, expansion, new markets, tech-stack changes, product launches + anything else that suddenly creates a reason to buy. 5. watch the market itself. follow founders, investors, researchers, customers + niche publications. save repeated ideas, new categories, new tools + anything multiple smart people start talking about at once. 6. build a product-feedback loop. cluster feature requests and complaints by frequency, account, revenue + urgency. “17 customers asked for this” is a lot more useful than a Slack message saying someone wants dark mode. 7. add content research as one input. watch 30-50 accounts your buyers already follow, save outlier posts + repeated questions, and track which topics keep getting attention before your company talks about them. 8. keep claims attached to sources. a tweet saying “X grew 400%” stays CLAIMED until verified. don't let one confident post quietly become company knowledge. 9. dedupe aggressively. if 12 sources repeat the same thing, keep one main finding and attach the others as supporting evidence. research should get sharper as it grows, not noisier. 10. connect findings to the company. competitor launches new pricing → GTM. customers repeat one complaint → PRODUCT. buyers keep asking one question → CONTENT / SEO. the useful part is where the information should go next. 11. send one morning brief with a hard cap of 10 items: 3 customer insights, 2 competitor changes, 2 market shifts, 2 GTM opportunities + 1 thing worth investigating. if it takes 20 minutes to read, the system failed. 12. every Friday, make it answer 5 questions: what changed this week? what kept repeating? what did customers care about most? what should we test next? what are we probably underestimating? 13. keep a permanent knowledge base behind it. PEOPLE, COMPANIES, TOPICS, DECISIONS + PROJECTS. today's research should still be findable six months later when it suddenly becomes relevant. 14. tie the research to whatever the company is deciding right now. pricing decision? pull competitor changes, customer objections + lost deals. launch coming up? pull buyer language, recent category shifts + competitor messaging. the database is only useful if it helps with an actual decision.