Regular Loyalty
I provide a subscription-based customer loyalty platform for businesses. The service includes merchant software, customer mobile apps, and optional hardware to help businesses manage loyalty programs and reward repeat customers.
Last 30 days
$164
MRR
$598
All-time
$165
Market Flank Analysis
Beat Regular Loyalty with Regular Loyalty Clear
Negatives are mined from public store reviews and public traces. Generate writes the sequenced build plan.
The Market Opportunity
Regular Loyalty is already getting attention on TrustMRR. Regular Loyalty Clear wins by making “what hacker news is actually saying” a non-issue and shipping that as the first screen, not a v2 promise.
Recommended Name
Regular Loyalty Clear
Target Customer
iOS users looking for simple and effective solutions
Positioning Wedge
The Mobile Apps that treats “what hacker news is actually saying” as the product.
Why Build Now
This is public demand on TrustMRR. A sharper first-run can take the next cohort.
Negative Review Traces
What users complained about
Hacker News • Airbnb allowing host to place cameras in the room where I would be sleeping
"Agreed. I gave up on AirBnb years ago and just got back into regular loyalty programs of regular hotels."
The 1-Star Review Flanks
Weaknesses you can kill
Direct quotes from store reviews and user grievances. Build the antidote that fixes them on day 1.
- HIGHHacker News
What Hacker News is actually saying
"Agreed. I gave up on AirBnb years ago and just got back into regular loyalty programs of regular hotels."
Antidote:Treat this as the wedge. Your MVP should make this complaint impossible: design the first-run and the primary screen so 'what hacker news is actually saying' cannot be said about the new Regular Loyalty killer.
- HIGHInferred Flank
Stale curriculum, no proof of outcome
"Courses like Regular Loyalty die when the stack they teach has moved on and there is no project a student can show."
Antidote:Ship a living syllabus with dated modules and a capstone the student publishes. Refund window tied to finishing lesson 1, not fine print.
- HIGHInferred Flank
Onboarding that assumes too much
"Most Regular Loyalty signups will not read the docs. If the first session is not a win in under three minutes, they churn and write the 1-star."
Antidote:A single happy-path checklist: sample data already loaded, one obvious primary button, and a 90-second empty-state tour that does the first job for them.
- HIGHInferred Flank
Pricing that feels like a trap
"Regular Loyalty will get roasted if plans hide limits, annual-only discounts, or usage that is impossible to forecast."
Antidote:Publish a public pricing page with a usage estimator, a visible free tier that is actually useful, and no dark patterns on cancel.
- MEDIUMInferred Flank
Support disappears after the charge
"Indie tools get 1-stars for silence. If Regular Loyalty is a solo shop, buyers assume they will be stranded."
Antidote:In-app inbox with a 1-business-day SLA, a public changelog, and a status page. Even a Linear-backed form beats a hidden email.
- MEDIUMInferred Flank
No one can find it
"Regular Loyalty has weak domain authority. People who would pay cannot discover it outside screenshots."
Antidote:Ship comparison pages against the two obvious incumbents, a public template gallery, and one genuinely useful free tool for inbound.
Market White Space
Gaps left wide open
- ✓Dated modules plus a public capstone.
- ✓A three-minute first win with sample data.
- ✓Honest estimator and a useful free tier.
- ✓In-app support with a public changelog.
- ✓Comparison pages and a free inbound tool.
- ✓Live 'jobs done' counter instead of fake logos.
Build Regular Loyalty Clear with your AI coding agent
Generates a 27-section master PRD and step-by-step implementation prompts covering architecture, schema, auth, core feature logic, UI polish, and acceptance tests.