How to spot a Series A 47 days before the deck lands in your inbox.
If you are a developer, ex-founder, or technical operator who also writes angel checks, the next 12 minutes will reframe how you source deals. Three objections will be addressed. One uncomfortable conclusion will follow. And one specific, sub-€10/mo tool will let you act on it.
The accident that started this
I was tracking a small fintech startup, mostly out of curiosity. Nothing special on the surface. No press, no AngelList buzz, no warm intros circulating.
But their GitHub told a different story. In two weeks, their commit velocity tripled. Four new contributors joined. They spun up three new infrastructure repos.
I flagged it in my notes. Three weeks later, they announced a $4M Series A led by a top-tier fund.
That moment broke something for me. The signal had been right there the whole time — public, free, updating in real time on a website every developer already opens 30 times a day. And nobody was reading it as deal flow.
That accident is the only reason this product exists.
The big domino
If commit-velocity acceleration is the most leading public signal in venture capital, then every other deal-flow source — pitch decks, AngelList, Crunchbase, warm intros — is a lagging indicator.
That is the one belief this whole page is built around. If it falls, so does our entire thesis. So instead of selling you a dashboard, I am going to spend the next three sections trying to knock it down. If it survives, the rest is arithmetic.
The three secrets
Three objections every investor raises. Three breakdowns.
Brunson rule: a great offer is a stack of broken false beliefs. Here are the three that block this one.
Secret #1 · Vehicle objection
“GitHub data is just noise.”
Fair objection. Raw commit counts are noisy. A bot can inflate them. A hackathon can spike them. A single developer pushing config files looks the same as a team shipping features.
We do not look at absolute numbers. We look at acceleration patterns — when a company’s engineering velocity deviates sharply from its own baseline. That is not noise. That is a regime change. Something happened inside that company. They hired. They found product-market fit. They are preparing to launch.
In the SSRN-published 219-startup panel, a 2× contributor spike inside a 14-day window preceded a fundraise announcement by a median of 31 days. Same dataset, replicate the regression yourself at /research.
Secret #2 · Internal objection
“I already have enough deal flow from my network.”
Your network shows you what other investors are already seeing. By the time a warm intro reaches you, the founder has talked to three to five other investors. The deck is circulating. The terms are forming. You are competing on reputation and speed, not on information.
The deals that generate outsized returns are the ones where you arrive before consensus forms. Before the deck exists. Before the company is “hot.”
That is the 21-to-47-day window we open. Engineering accelerates before the fundraise starts. In that window you can reach out first, offer help before they need money, and build a relationship before everyone else is trying to. Your network gets you to the table. This gets you there first.
Secret #3 · External objection
“Public data can’t be an edge — everyone has it.”
Everyone has SEC filings too. Quant funds still make billions parsing them faster and smarter than the rest of the market. The edge isn’t in having exclusive data — it is in reading what others ignore.
Right now, zero investor tools package GitHub activity as a dedicated deal-flow signal. The data is public. The analysis layer doesn’t exist. That gap is your edge — and it stays your edge until the market catches up.
We tracked Harmonic, Tracxn, Affinity, SignalFire Beacon, and Forager.ai in our buyers guide. None publish their methodology. None expose raw data. Engineering signal is the open lane.
So if all three objections are false, what would the world look like?
You would open one email on Monday morning, read the five startups ranked by their engineering acceleration that week, pick the one that matches your thesis, and send the founder a three-line email on Tuesday. Two more would already be in your dashboard for the Wednesday deeper dive. End of quarter, one Custom Sector Sweep would land for the thesis you have been saying you want to go deeper on for six months.
That is the rhythm. Sunday digest, Wednesday filter, end-of-quarter sweep. Three touchpoints, twelve minutes a week, sub-€10/mo. The dashboard is just a tool — the leverage is in the rhythm.
109 venture-backed startups ranked by 14-day commit-velocity acceleration, refreshed every Monday at 06:00 UTC. Filter by sector, stage, geography. The same data the SSRN paper was built on.
2
The 219-Startup Backtest CSV
Standalone: €297 one-time
Five quarters of historical signal-to-fundraise pairs. The full dataset behind the 21–47-day lead-time claim. Yours to load into a notebook and replicate.
3
Monthly Sector Deep-Dive PDF
Standalone: €588/yr
Pick one sector each month. We deliver a 12-page deep-dive with top 25 ranked orgs, contributor maps, and the three breakout candidates not yet on Crunchbase. Twelve issues a year.
4
Two Free Chrome Extensions
Standalone: €198/yr value
(1) Crunchbase + Wellfound badge that injects a momentum score into every profile. (2) VC GitHub Lookup — hover any org or repo, see the velocity in 200ms.
5
The Free MCP Server (forever, never gated)
Standalone: €0 — bundled with every tier
npx @gitdealflow/mcp-signal — six read-only tools inside Claude, Cursor, Windsurf, or any MCP host. Ask 'which AI infra startups are accelerating this week' and get the answer inline.
6
Async Watchlist Build
Standalone: €297 one-time
Send your thesis. We come back with a custom watchlist of the 10 highest-acceleration orgs that match it. One-time, kicks off the day you upgrade.
7
Methodology Vault
Standalone: €0 — published
The full SSRN preprint, every signal definition, the regression code that produced the lead-time numbers. Open by default — the vault is the unlock to the source data.
8
30-Day Signal-or-It's-Free Guarantee
Standalone: Bonus
If, in your first 30 days, the signal does not surface a startup you find genuinely interesting, reply REFUND to any email. No forms, no call, no questions. Full refund inside two business days.
Total standalone value€1,728/yr
Post-launch retail (Dashboard at €49/mo)€588/yr
Founding-member price, locked forever€9.97/mo
That is €119.64/year, or roughly the cost of one missed seed deal. The price stays €9.97 for as long as you stay subscribed, even after the public launch hike to €49/mo.
Risk reversal
30 days. Signal or it’s free. No forms. No call.
If, in your first 30 days, the signal does not surface a startup you find genuinely interesting — defined as one you would have wanted to know about earlier — reply REFUNDto any email. The full payment is refunded inside two business days. No questions, no exit interview, no “wait, let me show you one more feature.”
The guarantee exists because the signal either works or it doesn’t. Charging for an output you don’t find useful is bad business.
Three trial closes — pick the one that sounds like you.
1.If you write five-to-fifteen angel checks a year, this pays for itself the first time it surfaces a name you hadn’t seen. That happens, on average, in the first three Mondays.
2.If you scout for a fund, you can run the dashboard against your thesis sectors and ship a one-page memo to your principal every Monday morning. The memo is the artefact. The dashboard is the source.
3.If you are a developer who only occasionally writes a check, stay on the free digest forever. Five startups every Monday is enough for a part-time investor. Upgrade only when filtering the full universe pays for itself.
Close
Lock €9.97/mo. Forever. Before the launch hike to €49.
One click. Stripe checkout. The next Monday digest, the full dashboard, and the SSRN panel ship to you inside ten minutes. The 30-day guarantee covers everything.
Or test on one sector for €7 (First Look Pass) — credited toward Dashboard if you upgrade in 14 days.
FAQ
Why do you call this a Perfect Webinar if it's a written page?
Because the structure is the same. The Perfect Webinar framework is a sequence: hook, story, big domino, three secrets, stack, close. Russell Brunson popularised it as a 90-minute sales presentation. We use the same arc on a single scrollable page so a busy investor can read it in 12 minutes instead of sitting through a recording. The structure is what closes; the medium is just delivery.
What's the Big Domino in one sentence?
If GitHub commit-velocity acceleration is the most leading public signal in venture capital, then every other deal-flow source — pitch decks, AngelList, Crunchbase, warm intros — is a lagging indicator. The whole investing thesis falls or stands on whether that single belief is true.
What proof do you have for the 21–47 day lead time?
An SSRN-published longitudinal panel of 219 venture-backed startups across 19 sectors, five quarterly periods. Companies that registered a 2× contributor spike inside a 14-day window preceded fundraise announcements by a median of 31 days, with a 21–47 day interquartile range. The full panel + regression code is at signals.gitdealflow.com/research and the preprint is at ssrn.com/abstract=6606558.
Why €9.97/mo when comparable tools cost €1,000/mo?
Two reasons. One — we do not have a sales team. The whole price difference between us and Harmonic or Tracxn is the cost of an enterprise sales motion. Two — the buyer is a developer-investor writing €5k-€50k checks, not a partner at a fund with a six-figure data budget. Pricing matches the buyer.
What if I just want to test it on one sector before committing?
The First Look Pass is €7 once. You pick any of 19 tracked sectors at checkout. Within 24 hours you receive a written deep-dive PDF, the raw CSV, and a walkthrough of what stood out. If you upgrade to the Dashboard within 14 days, the €7 is credited. If you don't, you keep the report.
Read this far? You already believe the signal works.