Getro 🤝 reposted this
I tested an insane number of AI tools for VC. Here are the categories VC can win by using in 2026: 1/ Vibe Coding Tools VCs can turn natural language into code or automations to quickly build internal tools. Example: Auto-generate deal-flow trackers, valuation models, or custom portfolio dashboards. Platforms: → Lovable → Cursor → Replit 2/ AI Video Software Generate or edit videos autonomously. VC firms can use these for LP updates, portfolio highlight reels, or market-trend explainers. Example: Produce a 2-minute video for LPs summarizing quarterly fund performance. Platforms: → Synthesia → Descript → CapCut 3/ Workflow Automation Build AI agents to execute across your stack. Centralize workflows and data pulls into a single AI layer. Example: Cross-check your deal pipeline against Crunchbase, enrich with CRM data, and auto-schedule calls with founders. Platforms: → n8n → Zapier → Make 4/ AI Agents - Talent Sourcing Autonomously surface candidates. Instead of manually digging, VCs can deploy agents to map talent segments, find future founders, or recruit top AI talent. Example: Generate a list of ex-Stripe engineers founding AI startups in LATAM. Platforms: → Getro 🤝 → Clay → Findem 5/ Network & Talent Platforms Aggregate your fund’s ecosystem, jobs, people, and connections into a searchable layer. Example: Automatically surface senior operator talent for a portfolio company from across your network and post jobs to a branded board. Platforms: → Getro 🤝 (Job Board & Database) → Affinity CRM (Database only) → The Swarm 🔆 (Database only) → Consider (Job Board only) 6/ AI Marketing Content Automate complex internal workflows across content, storytelling, and brand. Example: Build a workflow that tracks AI startups raising Seed in the US, enriches with employee growth stats, and generates blog post summaries. Platforms: → Jasper → AirOps → Profound → Gamma → Canva 7/ Conversation Intelligence Extract common founder pain points, market signals, and potential red flags. Example: Summarize 100 founder calls and surface the 3 most repeated product gaps mentioned by early-stage AI companies. Platforms: → Granola → Fireflies.ai → Gong → Grain 8/ Deal sourcing Discover emerging founders and deals that fit your thesis perfectly. Example use-case: Sourcing deals in climate-tech in Canada. Platforms: → Harmonic → Specter → Clay 9/ AI Agents - Knowledge Management Knowledge tools that are adding agent assistants to help you transform work on top of the knowledge they collect. Example use-case: Generate email replies to pitches based on the pitch deck in google drive. Platforms: → Google Workspace → Notion → Airtable → Coda/Grammarly VCs who master these categories will create a compounding edge in sourcing, diligence, and value-add. 👉 What AI tools are you experimenting with?