`SubChecks` hits nearly $1,000 by selling a non-subscription subscription tracker

Cold DMs failed; public build-in-public posts drove the first 40+ paid users in two months. The useful takeaway is clear: weak automation mattered less than sharp positioning and repeated distribution.

[ KEY POINTS ]

Manual outreach to 100+ strangers produced almost no conversions; public posts on Reddit and comments created the first sales loop.
Positioning did heavy lifting: a subscription tracker that does not charge a subscription turned the pricing model into the hook.
The product improved after launch with renewal reminders, monthly digests, client/project grouping, and privacy-first manual tracking.
Current traction is 420+ users, 40+ paid, and nearly $1,000 revenue in two months; small scale, but enough to validate willingness to pay.

Originalwww.reddit.com/r/SideProject/comments/1tcmppj/i_made_usd_1000_from_a_useless_app_in_a_saturated/Read original →

// related

#0001
#0001Indie business r/SaaSyesterday
`Blip AI` Crosses $200K Revenue, Mostly From Lifetime Deals
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Blip AIVoice-to-text app — action mode across devices
Lifetime deals turned distribution into cash, but not recurring revenue. Useful launch pattern if compute cost and post-sale usage are priced deliberately.
- Most revenue came through AppSumo lifetime deals, not MRR. Treat LTD as cash plus distribution, not a subscription engine.
- Thousands of paid users validated demand for voice-to-text across devices. Card pulls beat compliments, but retention quality remains unproven.
- Every lifetime user keeps generating dictation compute cost. Speech apps need hard usage limits, fair-use clauses, or upgrade paths before scaling LTDs.
- The honest metric split matters: total revenue can look strong while recurring revenue stays weak. Optimize the next offer around repeat payment.
Source: www.reddit.com/r/SaaS/comments/1tgohgd/crossed_200k_reveRead original →
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70radar
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#0002
#0002Indie business r/SaaSyesterday
A zero-coding founder reached 71 users without marketing
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A beginner used ChatGPT, tutorials, and debugging to turn creator workflow friction into a product people use. Small, but enough to validate a niche before overbuilding.
- Started from zero coding knowledge three months ago. The speed matters less than picking a painful, repeated workflow.
- The pain was tool-switching for scripts, hooks, voiceovers, footage, and hashtags. That is a clearer wedge than another generic creator dashboard.
- No marketing yet still reached 71 users. Weak as scale proof, useful as early demand signal.
- The first milestone is not revenue here; it is real usage. Next step should be retention, not feature sprawl.
Source: www.reddit.com/r/SaaS/comments/1tgiuy4/i_know_71_users_iRead original →
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#0003
#0003Indie business GeekNewsyesterday
Do Not Answer the First Question
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Odd support questions often hide the real failure. Ask for context first; it turns confusion into product discovery.
- A strange request in a performance debugging tool is often a symptom, not the actual need.
- Asking for background exposes the user’s workflow and the missing affordance in the product.
- This goes beyond the classic XY problem: the confusion itself becomes diagnostic data.
Source: news.hada.io/topic?id=29623Read original →
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