You're stuck at $4.2K MRR for months. The only channel with signal is honest retention answers in r/iOSProgramming and r/androiddev, but every answer is a one-off comment that dies in the thread — it never becomes an asset you can reuse.

The moat isn't the percentile code — anyone can compute a median. It's that only your product sits on 38 apps' retention data and you'll publish what Amplitude and Mixpanel won't. The output doubles as your sales argument; strip either half and it's a toy or a gated PDF nobody shares.

Analytics SaaS for Mobile App Developers

Reach the Next 5 Indie App Developers With a Free Retention Benchmark, Not Ads

Synthesised by Generated by Diffmode's 576-vector synthesis engine · Last updated Updated 2026-05-19

Stuck at $4.2K MRR, same Stripe number the third Monday running. Your last 5 customers came from r/iOSProgramming threads, not ads. This week you ship a free retention benchmark.

The short version

You're stuck at $4.2K MRR and the only channel with real signal is honest tool-comparison answers in r/iOSProgramming and r/androiddev — this turns that answer into a reusable asset instead of a one-off comment.
Publish a free, no-signup page where any dev pastes their day-7 retention and instantly sees their percentile against ~40 indie apps. The verdict is the hook and the proof at once.
Month 1 is for signal, not paid customers: 120–500 tool-driven site visits, then a Month-3 hypothesis of 3–8 paying customers at the $29 Indie tier.

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The tactic

What to actually run

The Indie Mobile Retention Index

Stop the third-Monday Stripe-check loop with one free page devs paste their own retention into — the answer they ask for in every thread you already read.

You publish one public page — the Indie Mobile Retention Index — where any developer picks their app category, types in their day-7 retention, and instantly sees their percentile against the anonymized aggregate of your 38 customer apps plus public baselines. No signup. No email. The verdict is blunt and dev-toned: "Your day-7 of 8% is bottom-quartile for habit apps. The median keeps 14%. Most lose them on onboarding screen 2." That verdict is the sales argument and the traffic hook at the same time — the developer doesn't read your marketing, they paste their own number and the tool tells them they're below the indie median.

Why this works when the last five things didn't: a traditional marketer would gate this behind a lead form and "request the report" wall, killing the share loop and the credibility flex together. You don't. Amplitude and Mixpanel have the data but no incentive to publish a free benchmark that exposes how few apps actually retain. The moat is your customer base times the willingness to publish, not the code. I built the percentile logic on Diffmode's 576-vector synthesis — it surfaced the pair (give away the data competitors hoard, turn the free utility into the traffic engine) that neither vector produces alone. Same subreddit, different week.

What to watch in Week 1: the index is screenshot-able and citable in exactly the r/iOSProgramming and r/androiddev retention threads you already answer. Each refresh (~every 6 weeks) is a fresh, honest distribution moment, not a campaign. Expect 600–1,400 free-tool sessions and 120–500 tool-driven site visits in Month 1 — that's a pipeline signal, not revenue. If the post-to-session rate stays under 4% across 4 posts, the verdict copy isn't provocative enough; sharpen it before adding any channel. Diffmode's pSEO walks the founder through the exact day-by-day below. Published mobile-retention baselines (see AppsFlyer's benchmark report) keep the index defensible even at low sample size.

Expected Results

120–500 tool-driven site visits and 600–1,400 free-tool sessions in Month 1

Pipeline tactic — Month 1 is the PMF signal, not revenue. Month-3 hypothesis: if the index sustains ~1,000+ sessions/month converting to site visits at 20–35%, at the founder's observed 6.6% visitor-to-signup funnel that yields an incremental 3–8 paying customers/month at the $29 Indie tier — the band that closes the $5,800 MRR gap over 6 months.

Budget Required

$0–$20/month

Uses an existing landing-page skill and existing hosting (~$140/mo already paid before any marketing). No ads. Plausible is free self-hosted or $9/month cloud; everything else is owned or free.

Time to Signal

Week 1–2 (first 2 shared posts)

Tool-session-to-site-visit click-through registers on the first 2 shared posts; expect the declared 20–35% band before any scaling decision.

Why this combination wins

You're stuck at $4.2K MRR for months. The only channel with signal is honest retention answers in r/iOSProgramming and r/androiddev, but every answer is a one-off comment that dies in the thread — it never becomes an asset you can reuse.: The moat isn't the percentile code — anyone can compute a median. It's that only your product sits on 38 apps' retention data and you'll publish what Amplitude and Mixpanel won't. The output doubles as your sales argument; strip either half and it's a toy or a gated PDF nobody shares.

Tools You'll Need

Tool	Purpose	Cost	Setup
Existing product DB / SDK aggregate	Pulls the anonymized day-1/7/30 retention distribution from the 38 customer apps to build the baseline	$0 (already owned)	3 hours
Astro / static page on existing site	Hosts the public Index plus percentile input widget on a no-signup page	$0 (existing hosting)	4 hours
Plausible Analytics	Tracks tool sessions and tool-to-site referral clicks without cookie banners	Free (self-host) or $9/month cloud	30 minutes
Reddit (r/iOSProgramming, r/androiddev)	Primary organic distribution surface for sharing the Index in retention threads	Free	0 (account exists)
Hacker News (Show HN)	One-time launch distribution plus recurring index-update posts	Free	0 (account exists)
Typefully	Schedules the retention-teardown thread that embeds the Index link	Free plan available	15 minutes

Templates

Your day-7 of [THEIR %] — paste it into this: [INDEX_URL]. It ranks you against ~40 indie apps in your category (no signup, no email). For [APP CATEGORY] the median day-7 is about [MEDIAN %], so [THEIR %] is [bottom-quartile / mid-pack / top-quartile]. The pattern I see most in that bucket: the drop happens between [onboarding step] and [step], not at install. That's the thing to instrument first. (Full disclosure: the benchmark comes from [PRODUCT]'s customer aggregate — I build it. The tool itself is free and needs nothing from you.)

Updated the Indie Mobile Retention Index — [N] apps now in the dataset. What changed this cycle: - [Category] median day-7 moved from [X%] to [Y%] - New surprise: [one honest, specific finding] Check where your app lands (free, no signup): [INDEX_URL] Not selling anything in this post — the index is just the most-asked question in here ("is my retention normal?") with an actual answer.

Week 1 Checkpoint

By end of Week 1 you should have a live asset and 4–6 honest distribution touches feeding it.

✓A live, no-signup public Index page with correct per-category percentile verdicts and tracked outbound clicks
✓4–6 organic distribution touches live (2+ subreddit replies, 1 Show HN, 1+ Twitter thread), each leading with data
✓120–500 tool-driven site visits / 600–1,400 tool sessions tracked

When to pivot

If post-to-session rate is below 4% across 4+ posts OR total sessions stay under 150 after 14 days, make the verdict copy more provocative or change which categories are shown before adding new channels.

Weeks 2+: Scaling Schedule

Week	Focus	Tasks	Time
Week 2	Double down on the highest-click-through channel	Concentrate distribution on whichever surface drove the best tool-to-site rate in Week 1 (likely the subreddits), Add 1 new app category to the Index based on observed demand, Seed the Index into 3–4 more live retention threads as they appear	~6 hours total

Week	Focus	Tasks	Time
Weeks 3–4	Convert the asset into a referable system	Equip 3–5 happy customers with a one-line 'check your retention against the index' share they can drop in their own dev circles, Publish the first recurring Index update using the recurring-update template, Begin a short companion comparison note that links the Index, feeding the founder's existing organic-Google comparison post	~5–7 hours/week

Pro

Read before you ship

Caveats

This tactic assumes two skills you actually have: landing pages and analytics setup. It needs neither ad spend nor heavy content writing — the founder ruled out paid Google and Reddit ads (tested two weeks, $120, near-zero paid conversion, free-tier tire-kickers only), and that ruling stays. Do not bolt ads onto this; the whole point is that the data does the convincing for free. The bigger risk is time. You have 20 hrs/week for growth and it competes with SDK support and shipping Android parity features. Week 1 is ~12 hours, then ~5–7 hrs/week. If a support fire or a release crunch eats two weekends in a row, the distribution loop dies before the second refresh — and a benchmark nobody reshares is just a page. Protect the recurring ~6-week update slot the way you protect a release: it is the part that makes this pay back, not the build.

Sample size is the honest caveat. At 38 customer apps your per-category buckets are thin. Blend in 2–3 published mobile-retention baselines so the verdict survives a skeptical developer who asks "benchmarked against what, exactly?" — that question will come, and the answer has to be ready, named, and linkable. Lead with the disclosure that you build the product; this audience punishes anything that smells like a hidden pitch, and r/iOSProgramming will downvote and report a product link with no context. The verdict copy is the live variable: too soft and nobody reshares, too cute and it reads as marketing. Expect to rewrite the highest-traffic category's verdict at least once in Week 1 based on real Plausible traffic, not on what you think is provocative.

Closest analogue

Case study: NotionForms (Julien Nahum) — the solo bootstrapper who turned one honest community post into a self-distributing asset on the exact channel he already lived on

Julien Nahum built NotionForms solo, bootstrapped, sharing progress publicly the whole way. He hit $10K MRR in roughly a year on a $15-ish-then-up subscription — the same wedge-priced indie tier the analytics founder here sells at $29. The parallel is the mechanism, not the vertical: Nahum's growth never came from ads. He posted NotionForms to the Notion subreddit hoping for early users. The post itself underperformed at the time — about 26 upvotes and roughly 20 users in the first week. But that single honest community post became a top-5 Google result for 'create a form with notion' and turned into a regular acquisition funnel he never paid for. One useful artifact, dropped on the exact community his buyers lived in, kept distributing itself long after the thread went cold.

That is the same bet the Indie Mobile Retention Index makes. The founder of this analytics product already has the only channel with real signal — honest tool-comparison answers in r/iOSProgramming and r/androiddev. What they don't have is an asset: every answer dies as a one-off comment. Nahum's lesson is that the artifact, not the comment, is what keeps paying back — his free product had a built-in share loop (a NotionForms link under every free form) that fed both word-of-mouth and search authority; fewer than 25% of active forms ever used a paid feature, and the free majority did the marketing. The founder-decision angle matches exactly: Nahum ran this himself, solo, agency-free, at a stage where the money wasn't life-changing and the temptation to sell early (he got a $6K offer at month one) was real. He committed to the one motion that fit his constraints instead of spreading thin — which is precisely the decision the reader of this page is standing in front of at $4.2K MRR.

Source: https://www.indiehackers.com/post/from-0-to-10k-mrr-in-12-months-solo-bootstrapped-notionforms

Failure modes

Anti-patterns

Don't gate the benchmark behind a lead form or a 'request the report' email wall. That is the reflex move, and it kills both the share loop and the credibility flex in one decision — the entire mechanism depends on the verdict being instant and free. Don't post the Index as a bare link in a subreddit. r/iOSProgramming and r/androiddev punish promotion: a product link with no context gets downvoted to oblivion and reported. The artifact only travels when it rides inside a genuinely useful answer to a question someone actually asked, with the disclosure that you build it stated plainly. Don't relaunch the same Show HN or the same thread copy every cycle — recycled launch posts read as a campaign, and this audience smells a campaign instantly. Each refresh needs one honest, specific new finding ('habit-app median day-7 moved from 14% to 11% this cycle'), or it is not worth posting. Don't add a second or third channel while the post-to-session rate is below the 4% kill line — chasing a new surface to escape a weak verdict just spreads thin effort across more dead ends. Fix the verdict copy first. And don't treat Month 1 like a revenue test. This is a pipeline tactic: the Month-1 deliverable is the session and click signal, not paid customers. Judging it on MRR in 30 days will make you kill a working asset one cycle before it pays back.

Adjacent playbooks

Where to look next

Run it against your numbers

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Reach the Next 5 Indie App Developers With a Free Retention Benchmark, Not Ads

The short version

Get the plan synthesised for your product.

What to actually run

The Indie Mobile Retention Index

Why this combination wins

Tools You'll Need

Week 1: Day-by-Day Plan

Baseline data extracted and page wireframe decided

Build the public Index page

First distribution — answer a live retention thread with the Index

Show HN launch and iterate verdict copy

Review signals and lock the recurring cadence