15 BREAKOUT COMPANIES / 40 SOURCED PLAYS
Forty sourced plays from the operators who ran them. See the move, why it worked, the receipt, what to steal, and where copying it would fail.
THE COMMON THREAD
THE INSIGHTS EDITION
Start here for the useful version. Each card gives you the move, the receipt, and the practical takeaway. Open the company file when you want the full mechanism and source trail.
At the one-year mark Lovable reported 100,000 projects created daily and 5M daily visits to Lovable-built sites and apps.
Make the finished outcome public, attributable, and easy to remix. Ask what users naturally want to show when they succeed.
6M organic impressions in one quarter, no paid amplification. One promotional post from Davide Grieco generated 4,500+ webinar registrations.
Map one operator to one buyer. Give them a repeatable editorial mix and one conversion event per month. Keep authorship with the operator; support can sharpen hooks, not manufacture opinions.
Srinivas describes usage as going exponential after the release and calls it the product’s true growth inflection.
After every AI output, recommend the two or three highest-value continuations based on the user’s goal instead of generic prompt suggestions.
Gamma went from about 60K signups across eight months to 25–50K signups per day, without paid marketing.
Instrument time-to-first-wow, output acceptance, and share intent. Watch first sessions weekly and make the first result the product team’s primary growth surface.
Supabase called Launch Week a core product-led growth system during a period when managed databases grew 47% month over month for 18 months.
Bank three to five coherent releases around one customer story. Give every day a distinct reveal and the whole week a narrative arc.
Conversion held flat, touches-to-convert fell, and nine of ten inbound SDRs were redeployed. The initial build took about six weeks and 25–30% of one engineer’s time.
Shadow your top performer, encode the decisions and examples, run in draft mode, then graduate low-risk steps while measuring conversion and correction rate.
After the Agent launch, subscriber growth reached 45% month over month and ARR rose from roughly $10M at the end of 2024 to $100M by June 2025.
Ask whether your AI feature merely accelerates a step or lets a new user complete the whole job. Market the finished job.
Kothari reports that roughly 90% of growth came through word of mouth and that about 100 companies a week were signing themselves up without a sales team.
Watch 25 matched users install and reach first value without rescuing them. Tag every hesitation, exact phrase, and visible reaction. Protect the repeated delight moment before optimizing the rest of the funnel.
Notion reported 51 million template duplications by nearly 11 million people in one year, then expanded the gallery from 600 to more than 5,000 templates.
Build templates around expensive recurring jobs. Include realistic data, one clear outcome, and a measurable event between duplication and first value.
About 10% of the waitlist became users during the first year of private beta. The team maintained weekly contact with the people who used Linear every day.
Ask two qualification questions at signup. Admit one coherent cohort at a time. Resolve the blockers that cohort shares before widening the aperture.
Every deep dive includes the growth thesis, source files, what most writeups miss, the exact plays, failure modes, and backlog-ready deployment briefs.
01 $1M → $100M ARR in roughly two years
02 $200M ARR one year after commercial launch
03 60K signups in eight months → 25–50K per day
04 47% monthly database growth across an 18-month stretch
05 One inbound SDR supervising an agent that does the work of ten
06 $10M → $100M ARR in about six months
07 From irrelevant to an exponential usage curve
08 $0 → roughly $40M ARR in five months
09 $22M paid to voice creators
10 An AI agent resolving more than 2M issues a week
11 10K-person waitlist, admitted roughly 10 users a week
12 150-person closed beta for a year before a 500-install launch day
13 Roughly 90% organic MoM growth after launch; about 20% paid conversion
14 51M template duplications by nearly 11M people in one year
15 $1B in annualized revenue, paired with a global practitioner network
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