hebel. today · 8 November 20262 / 73

Business · Startups

Fundraising velocity beats traction in the current market

Prioritize pipeline velocity. Gul Usman of Metal raised $120 million for Airlift before building his current platform by identifying process velocity as the strongest predictor of fundraising success rather than raw traction. Giovanni Antonelli…

Prioritize pipeline velocity. Gul Usman of Metal raised $120 million for Airlift before building his current platform by identifying process velocity as the strongest predictor of fundraising success rather than raw traction (Ignite Insights). Giovanni Antonelli of Tulip Ventures secured his lead investor in seven days and filled angel spots in weeks by building his network and public profile before he ever needed capital (baby vc). Founders at PostHog and other AI-native teams use install wizards to improve conversion, where their wizard users convert to paid at 14.2% compared to 2.6% for others, providing the concrete metrics investors require (Ruben Dominguez from The AI Corner).

Refine your investor outreach. Yoann Berno of Climate Insiders recommends cutting a list of potential investors down to thirty high-fit names to ensure quality outreach rather than spamming hundreds of firms (Climate Insiders). Duygu Dulger suggests that when an investor asks about competitors, founders should start with the specific company name before explaining, as short answers create more conversation (Pitch Deck Guide). Founders should ask early if a firm leads rounds, as Founder Collective notes that learning a fund will participate but not lead saves valuable time in the fundraising process (Pitch Deck Guide).

Optimize your unit economics. Character.AI filed for bankruptcy despite having 20 million monthly active users and $193 million in funding because they failed to make revenue outpace the cost of AI compute for every user session (Audra Carpenter Weekly newsletters on…). Applied Compute reached a $100 million annualized revenue run rate in under 18 months and raised $350 million at a $3.25 billion valuation by serving custom open-weight models to enterprises (The Founders Corner®). A bootstrapped US fintech is currently raising a $10 million late seed round based on $12.13 million in cumulative GMV and $1 million in revenue with zero prior outside capital (The Founders Corner®).

  • Pre-seed rounds on Carta were 93% SAFEs in Q2 2026, with a median valuation cap of $35 million for rounds above $2.5 million (Ruben Dominguez from The VC Corner).
  • Figma’s growth team built a shared repo of 31 AI skills and an experiment agent that produced a clear win in its first test (The Founders Corner®).

Try today · 30 min

Calculate your exact cost per user session against the revenue it generates to identify your profitability threshold.

Map your total monthly inference costs against the number of active user sessions for your current product.

You need

  • Current monthly AI inference bill
  • Total monthly active user sessions
  • Average revenue per user session

Steps

  1. Divide your total monthly inference bill by your total monthly active user sessions to find the average cost per session.
  2. Subtract this cost from your average revenue per session to find the net profit or loss per usage instance.
  3. Identify the specific usage threshold where the cumulative cost of a user's sessions exceeds your revenue from that user.
  4. Document this threshold to stress-test your business model before scaling.

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Sources

  1. Ignite Insights on hebel. →This podcast episode explains why pipeline velocity is a more reliable predictor of fundraising success than traction.

  2. baby vc on hebel. →This article outlines a fundraising playbook based on building a network and public profile before pitching.

  3. Ruben Dominguez, The AI Corner on hebel. → ✎ Written by a personPostHog shares 38 lessons from shipping AI products, including how to measure conversion metrics for install wizards.

  4. Climate Insiders on hebel. →This piece provides a strategy for cleaning investor lists and focusing on high-quality, personalized outreach.

  5. Pitch Deck Guide on hebel. →This guide details how to prepare for investor meetings, including how to answer questions about competition.

  6. Audra Carpenter Weekly newsletters on… on hebel. →This case study on Character.AI explains the danger of AI compute costs outpacing revenue per session.

  7. The Founders Corner® on hebel. →This recap includes data on Applied Compute's revenue growth and fundraising success.

  8. Ruben Dominguez, The VC Corner on hebel. → ✎ Written by a person

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