Inbox Experiments
Inbox Experiments
Inbox Experiments shares practical micro-experiments, digital product playbooks, and actionable growth insights for solo founders and small businesses who want to grow without big budgets or agencies.
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Your product? Claim it to see where they come fromAbout Inbox Experiments
Inbox Experiments is a newsletter written by Yunus Ertürk for quiet builders who want to build repeatable go-to-market systems without turning into salespeople. It is published on beehiiv, and readers can subscribe to receive new issues and browse an archive of past posts.
Issues cover topics such as distribution patterns that hold products back, finding boring but profitable niches for micro-SaaS, moving vibecoded apps from localhost to launch, LLM visibility (AI engine optimization), and finding first buyers on Reddit. Posts are short reads, typically one to eight minutes, and several include practical resources such as a hook bank with 30 openings, a Reddit execution playbook and a 30-minute go-to-market loop.
The content is aimed at indie makers, solo founders and small product builders who prefer systems and playbooks over hands-on selling. Archive tags include gtm systems, niche products, product management, ChatGPT, small business, vibecoding, AIEO and productivity.
Best for
- Solo founders building go-to-market systems
- Indie makers launching vibecoded apps
- Micro-SaaS builders researching niches
- Builders who avoid hands-on sales
Pros
- Short, practical posts with step-by-step playbooks
- Covers Reddit distribution and LLM visibility
- Regular weekly publishing cadence
- Searchable archive organized by topic tags
Cons
- Written by a single author
- No pricing or subscription details stated
Inbox Experiments FAQ
- What is Inbox Experiments?
- It is a newsletter by Yunus Ertürk about building repeatable go-to-market systems for quiet builders, published on beehiiv.
- What topics does it cover?
- Posts cover distribution patterns, niche selection for micro-SaaS, shipping vibecoded apps, LLM visibility and finding first buyers on Reddit.
- How long are the posts?
- Recent posts range from about one to eight minutes of reading time.
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