Signal a packed schedule (Eg. Convey hard stops and reschedule for additional meetings)

Hint at interests without naming names (Eg. Mention travel plans to SF or New York on a Monday to signal partner meetings)

Incentivize early commitments (Eg. Offer discounts for a small first tranche raised or commitments made before a certain date)

Indicate a selective round and limit to 5 active investor conversations—mentioning “I’m talking to 37 VCs” damages credibility and is worse than saying nothing

Tailor the pitch to highlight why they’re the perfect fit—highlight their strengths, differentiation and past investments

Emphasize their specific added value (Eg. “We know you can make a difference in our business given your background in ___ and how you’ve helped ___ startup with ___”)

Do references from founders they’ve backed and mention great things heard

Downplay money as a decision-making factor

Ensure next steps are clear after every meeting

Set an exact due date for term sheets—use it to push back against attempts to rush decisions

Allow 3-4 weeks between the final meeting and term sheet deadline

Schedule for all terms sheets to arrive in the same ~1-week window to evaluate and negotiate

Misaligned timelines = awkward gaps, lost momentum and blown opportunities

Maximize for both the number of offers and the chance they come simultaneously—an early term sheet forces a rushed decision or risks seeming manipulative

Line up investor timelines from the start and run a tight process

VCs hide their true intentions—positive or friendly doesn’t mean interest; negative or tough doesn’t mean no

Choosing the “best” partner is irrelevant until all term sheets are on the table

Don’t rely solely on money or valuation—at 10% difference, choose the right person(not just firm); at 30%, choose the best offer.

Local investors = More value—especially for your first funding round. 

Leverage tools like Sydecar to compile small investor checks.

Jira, Trello and Shortcut were built for human-only teams, not built for AI-human collaboration

AI is now resolving a growing share of engineering tickets via AI copilots and autonomous agents 

100% of Coinbase engineers already use Cursor to assist with fraud prevention, customer support, risk scoring, and design—AI-generated pull requests for Jira tickets are next

Ticketing systems that unify software development and customer experience will be invaluable as support tickets become fulfilled by low-cost AI-driven feature requests.