How Glassdoor and Reviews Signal Startup Health for Investors
Employee reviews and customer sentiment reveal operational risks and culture issues that angel investors need to assess before backing UK startups.
Hiring Patterns Reveal Startup Traction for Investors
How hiring trends signal funding rounds, product launches, and growth for early-stage investors screening UK startups.
Companies House Filings Check Guide for Investors
Master Companies House filings for UK startup screening. Essential guide to accounts, PSC records, and risk signals for angel investors.
How to Verify a UK Startup Before Investing
A practical guide for angels and syndicates to check founders and UK company records using verified public data.
Red Flags in UK Startup Filings: A Risk Guide
Early-stage investors need to spot financial distress signals in Companies House filings before investing in UK startups.
How to Spot Momentum: Reading Growth Signals Before They Scale
Learn to identify the optimal investment window by reading early growth signals—hiring momentum, fundraising activity, and founder signals that predict scale-up success.
How to Verify a UK Company Before Investing
Essential company verification checklist for angels using Companies House filings and public records to avoid investment risks.
How to Qualify Early-Stage Startups Before Investing
Screen pre-seed and seed startups in minutes using Companies House filings, hiring patterns, and founding team signals—essential checks before writing a cheque.
Top 5 Signals of Healthy Startup Growth from Public Data
How early-stage investors identify genuine traction signals in UK startups using Companies House filings and public market data.
Complete Due Diligence Research: From Companies House to Market Signals
Build a comprehensive investment thesis using Companies House filings, founder track records, and market signals—all from free public data.
5 Founder Due Diligence Checks for Angels
Essential techniques for angel investors to verify founder backgrounds and assess founding team credibility using public data.