The goal of a 30-minute evaluation isn't to decide whether to invest — it's to decide whether to take a meeting. Most active investors need to evaluate 10–20 opportunities per week. At 30 minutes each, that's 5–10 hours of screening. Any more than that and you have no time left for the companies you've already invested in.
The 30-Minute Framework
This is the exact process I use for every new opportunity. The order matters — each step either advances the company to the next question or eliminates it.
- 1.Minutes 1–5: Team scan. LinkedIn profiles of all founders. What did they build before? Do they have relevant domain experience? Is there a technical co-founder? Red flag: all founders are from consulting/banking with no operational experience in the space.
- 2.Minutes 5–10: Market size and timing. Is this market big enough to produce a venture-scale outcome? Why now — what changed that makes this possible today? Red flag: the market is 'AI for X' with no specific wedge.
- 3.Minutes 10–15: Product and traction. Is there a working product? What's the current traction (users, revenue, LOIs)? What does the growth curve look like? Red flag: six months post-launch with flat metrics.
- 4.Minutes 15–25: Deck review. Look for clarity of thinking, not production quality. Can the founders explain the problem, solution, and business model in a way that a non-expert would understand?
- 5.Minutes 25–30: Decision. Three options: take the meeting, pass, or flag for a second opinion from a domain expert in my network.
“I don't look for reasons to say yes in the first 30 minutes. I look for reasons to say no. If I can't find a clear reason to pass, the company deserves a conversation.”
— Anika Patel
The Most Reliable Positive Signals
- ▸Founders who've personally experienced the problem they're solving
- ▸Organic traction without paid acquisition — customers found the product on their own
- ▸A clear explanation of why existing solutions fail
- ▸Specificity in the pitch — concrete numbers, specific customer stories, named competitors
Batch your evaluations. Set aside two 90-minute blocks per week for screening new deals. This prevents context-switching and helps you compare opportunities against each other rather than evaluating each one in isolation.
The Red Flags That Save You the Most Time
After evaluating over 2,000 startups using this framework, certain red flags have become instant disqualifiers — not because the companies can't succeed, but because they correlate strongly with outcomes I can't underwrite as an early-stage investor. Learning to pattern-match these saves more time than any other optimization.
- ▸Founder-market fit gap: Founders with no professional experience in the industry they're disrupting have a 3x higher failure rate at seed stage. Passion isn't a substitute for domain expertise at this level.
- ▸The 'everything app' pitch: Any deck that describes the product as a platform for multiple unrelated use cases is almost always a sign the founder hasn't found their wedge.
- ▸Vague competitive advantage: If the moat is 'our team' or 'our technology,' dig deeper. In 85% of cases, there's no defensible advantage — just a head start that competitors will close.
- ▸Six months post-launch with flat MoM growth: At pre-seed, zero traction is fine. But if you've launched and growth is flat for 6+ months, something structural is wrong.
- ▸Cap table red flags: More than 25% allocated to advisors, previous investors with full ratchet anti-dilution, or a CEO with less than 40% ownership at seed stage.
Calibrating Your Hit Rate
If you're taking meetings with more than 20% of the companies you screen, your filter is too loose. If less than 5%, it's too tight and you're likely missing good deals. The sweet spot for most active angels is 8–15% of screened deals advancing to a meeting, and 15–25% of meetings resulting in an investment. Track these ratios quarterly — they're the best leading indicator of whether your evaluation process is working.
One data point that surprised me: the correlation between my 'gut feeling' score (a simple 1–10 rating I assign after the 30-minute screen) and actual investment outcomes is only 0.31. But my 'thesis fit' score correlates at 0.58 with positive outcomes. This is why frameworks beat intuition — your gut is processing signals that aren't actually predictive, while structured evaluation focuses on the variables that matter.
For every deal you pass on, write one sentence about why. Review these quarterly. After 6 months, you'll notice your pass reasons clustering into 3–4 categories. Those categories are your actual (not theoretical) investment criteria. Use them to refine your screening process and save even more time.
Anika Patel
Anika leads Horizon Ventures' pre-seed program, having backed 70+ companies at the earliest stages. Previously she was a product lead at Spotify and co-founded a YC W19 company.