Keep Your First Hundred When TestFlight Breaks
A dead beta link is a support case, a direct message, and a fallback path, not a re-upload loop.
Keeping Them
Early retention, before the product is finished.
Audit Your First 100 Users' Week One
Check whether your earliest users finished setup, returned for meaningful use, and had a reason to come back before you build another feature.
Save your first hundred App Store subscribers when they tap cancel
Treat the App Store cancel tap as a manual retention event: write a loss-led message, add offers only as fallback, and track saves against the median.
First 100 Users: Jev's Week-One Activation and Value Gap
Track two week-one numbers: the share of signups who activate and the smaller share who reach a real value moment.
Make Your First 100 Users Need You Before an AI Agent Cancels You
Name the recurring outcome your first 100 users get, make it visible, and test whether they would miss it if an assistant canceled it.
Advertisement
Keep Your First 100 Paying Users in Month One
Your early users don't need a growth engine; they need a first month where the value is obvious before renewal arrives.
Keep Your First Hundred From Choosing Cheaper: A Four-Shift Retention Checklist for Unfinished Products
A minute-by-minute retention checklist for founders with a handful of users: catch price pushback, smaller orders, cheaper switching, and longer payment cycles before they become churn.
First Hundred Churn: Fix Billing Before Judging the Product
Split churn into involuntary and voluntary, fix billing first, then read the remaining voluntary churn as your product verdict.
First-hundred activation check: kept or leaking
Define one value moment, pick the right window, and calculate whether your first signups are real demand or an onboarding problem.
Make your first hundred renew: a four-point pre-renewal checklist
If your first paying cohort has not felt the value by their first renewal, later growth tactics will not fix it.
Ask Your First Hundred Why They Leave, Then Fix the Dominant Reason
Set cancellation reasons to your real failure modes, read the weekly answers, and fix the dominant reason before touching anything else.
Find the one fix that gets your first hundred past week one
Track week-1 and weekly retention, compare them to a relevant benchmark, and ship the single fix that changes the curve.
Catch Your First 100 Users: A Manual Retention Audit
Run a manual retention audit: list active users, set a usage threshold, flag quiet accounts, and send a personal touch before renewal.
Keep first users by reaching a real value moment early
For early users, retention is won by manually moving each person to a real value moment early and keeping first value inside the retention window.
Cut onboarding to two user-started steps
Trim onboarding to one or two user-started steps, and let users start the tour instead of forcing it on them.
Turn a Show HN spike into your first 100 real users
Treat every Show HN comment as a personal meeting, then run a triage checklist to turn launch attention into a list of users you can keep.
Find where first 100 users stall, then make days 1-3 build value
Early users are won by instrumenting drop-off and making the first days prove value, not by pushing a sale.
Turn 1,000 Free Users Into Your Next 100
The first 1,000 free users are a keep/leave test, and the next 100 come from the segment that still needs the product after week two.
The first-hundred test for killing a working AI product
Keep a working AI product only when a handful of outsiders repeat, pay, and would be upset if it disappeared.
Rebase your first hundred users at month 3
Stop judging early retention too soon by rebasing the curve after early churn clears, then reading whether a real cohort is forming.
Read your first cohort chart: the no-floor week-8 retention test
A cohort chart with no floor is an early warning that your first users are not finding recurring value.
First Hundred Users: Coming Back Without History
Give new users a day-2 reason to return before their data compounds, then test the change on the next cohort, with paid and organic installs separate.
The 7-of-100 test that tells you whether to chase traffic or fix activation
The day 7 return test tells you whether to spend the next week on traffic or activation.