RankBoost
An indie ASO tool whose ranking data broke when Apple shifted the ground underneath it
RankBoost was built for Web in Developer Tools. It died primarily from platform dependency, but the useful signal is the lesson: Building a product entirely dependent on scraping a platform that actively fights scrapers. Apple doesn't provide a public API for search rankings, so every ASO tool is built on scraped data. But as a solo dev, I couldn't sustain the scraping infrastructure — cost, rate limits, and anti-bot measures made it a constant arms race. Enterprise competitors spend six figures on this infrastructure. I was spending $300/month and hoping for the best.
Platform Dependency
What worked
What to avoid
Building a product entirely dependent on scraping a platform that actively fights scrapers. Apple doesn't provide a public API for search rankings, so every ASO tool is built on scraped data. But as a solo dev, I couldn't sustain the scraping infrastructure — cost, rate limits, and anti-bot measures made it a constant arms race. Enterprise competitors spend six figures on this infrastructure. I was spending $300/month and hoping for the best.
Timeline
The story
The useful part is not that it failed. It is where the founder saw signal, where the bet broke, and what a second builder should avoid.
What was built
RankBoost was a web-based App Store Optimization (ASO) tool for indie iOS developers. You'd enter your app's name and category, and it would analyze keyword competition, suggest better keywords, show ranking estimates, and track your position over time. The tool scraped App Store search results daily to build a keyword difficulty database. There was a free tier (5 keyword lookups) and a paid tier ($49.99 one-time for unlimited lookups and position tracking). I targeted indie developers who couldn't afford enterprise ASO tools like Sensor Tower or App Annie.
Why they built it
When I launched my own iOS app, I spent hours manually searching App Store keywords and guessing which ones to target. Enterprise ASO tools cost $200+/month — way too expensive for a solo developer with a $2.99 app. I figured there was a market for a cheap ASO tool aimed at indie developers. I knew the App Store algorithm favored keyword optimization, and most indie devs were guessing instead of using data.
What worked
The keyword difficulty scoring was useful and indie devs appreciated having data they couldn't get elsewhere for free. My blog post on 'ASO for Indie Developers' ranked well on Google and drove consistent organic traffic. The one-time pricing was attractive to indie devs who hated subscriptions. I got some genuine thank-you emails from developers who said RankBoost helped them find keywords they hadn't considered.
What failed
Three things killed it. First, Apple changed their App Store search algorithm in a mid-year update, and my keyword difficulty scores became wildly inaccurate overnight. Rankings that my tool predicted as 'easy' turned out to be impossible, and vice versa. Recalibrating took weeks because I had to re-scrape and re-model everything. Second, Apple started rate-limiting and blocking the scraping infrastructure I used to gather keyword data. I burned through IP addresses and proxies, which added cost and fragility. Third, my data was always stale — I could afford to update rankings once daily, while enterprise competitors had near-real-time data. Paying users noticed that tracked rankings were often 12-24 hours behind actual results, which undermined trust.
Failure analysis
Failure chain
- Indie iOS developers wanted cheaper keyword data than enterprise ASO tools offered.
- RankBoost depended on scraped App Store search results because Apple exposed no stable ranking API.
- An App Store algorithm change made the keyword difficulty model unreliable overnight.
- Rate limits and anti-bot defenses raised infrastructure cost while data freshness lagged.
- Trust broke because the product sold accuracy on top of platform data it did not control.
What the signals looked like
The keyword difficulty scoring was useful and indie devs appreciated having data they couldn't get elsewhere for free. My blog post on 'ASO for Indie Developers' ranked well on Google and drove consistent organic traffic. The one-time pricing was attractive to indie devs who hated subscriptions. I got some genuine thank-you emails from developers who said RankBoost helped them find keywords they hadn't considered.
Where it actually broke
Three things killed it. First, Apple changed their App Store search algorithm in a mid-year update, and my keyword difficulty scores became wildly inaccurate overnight. Rankings that my tool predicted as 'easy' turned out to be impossible, and vice versa. Recalibrating took weeks because I had to re-scrape and re-model everything. Second, Apple started rate-limiting and blocking the scraping infrastructure I used to gather keyword data. I burned through IP addresses and proxies, which added cost and fragility. Third, my data was always stale — I could afford to update rankings once daily, while enterprise competitors had near-real-time data. Paying users noticed that tracked rankings were often 12-24 hours behind actual results, which undermined trust.
Lessons
What the founder learned
Building on scraped data from a platform that doesn't want to be scraped is rented land with an eviction notice. Apple can change their algorithm, block your scrapers, or launch their own keyword tools (App Store Connect already shows some keyword data) at any time. Your product breaks, and you have no recourse. Also, competing with enterprise tools on data quality as a solo developer is structurally impossible — they have budgets for infrastructure, data science teams, and direct relationships with Apple. The indie developer ASO market wants cheap tools, but cheap tools can't afford the data infrastructure needed to be accurate. That's a fundamental economic mismatch.
What they’d do differently
I wouldn't build an ASO tool. The data dependency problem is structural and unsolvable at indie scale. If I wanted to serve indie iOS developers, I'd build tools that use data the developer already has — App Store Connect analytics (Apple provides this via API), crash reports, user feedback analysis, or A/B testing for screenshots and descriptions. Those don't require scraping and Apple can't break them by changing an algorithm.
Editorial scorecard
How viable is rebuilding this today?
Did real users or customers want this?
How well was it built and shipped?
Did they have a path to reach users?
Was the business model viable?
How useful is this postmortem for other builders?
Scores are assigned by App Graveyard editors after review. They are directional, not scientific.
Rebuild opportunity
2/10Rebuild thesis
Do not revive RankBoost as a scraped ASO rank tracker. The adjacent opportunity is App Store Connect-native tooling that helps indie developers act on data Apple already exposes.
Best operator fit
An iOS developer-tool founder who understands App Store Connect APIs, review operations, and subscription metrics.
What to avoid repeating
I wouldn't build an ASO tool. The data dependency problem is structural and unsolvable at indie scale. If I wanted to serve indie iOS developers, I'd build tools that use data the developer already has — App Store Connect analytics (Apple provides this via API), crash reports, user feedback analysis, or A/B testing for screenshots and descriptions. Those don't require scraping and Apple can't break them by changing an algorithm.
First 30-day revive plan
Interview 20 indie iOS developers, pick one workflow Apple supports through API access, and ship a narrow utility for review triage or subscription cohort analysis.
Major risks
Apple API coverage may be incomplete, indie developers are price-sensitive, and Apple can still absorb obvious workflow features into App Store Connect.
Turn this postmortem into a pre-flight check.
The page asks users to act before it has earned enough clarity, proof, or safety.
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