Tool
Beehiiv
Newsletter platform with built-in ad network and Boost referrals.
Affiliate link. We may earn a commission if you sign up — at no cost to you. See our disclosure for details.
About Beehiiv
Beehiiv is a newsletter platform designed for creators who want to monetize their audience from day one. Unlike Substack, Beehiiv gives you full control over design, sponsorships, and referral programs. The built-in ad network connects you with sponsors automatically, while the Boost program lets you earn revenue when referred subscribers upgrade. We use Beehiiv for our own newsletter and have tested the full setup — from import to first paid sponsorship. The analytics dashboard shows exactly which growth channels drive paid conversions, not just vanity metrics.
Articles featuring Beehiiv
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What 18 Months of Affiliate Data Taught Us About Which Reviews Convert
We pulled 18 months of click and conversion data across our tool reviews. The patterns that drove signups were not the ones we expected when we started.
2026-06-22 · meta
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Why pickuma Runs No Sponsored Posts (and How That Shapes Recommendations)
pickuma takes affiliate commissions but never sells sponsored coverage. Here's the difference between the two models and how it changes what we recommend.
2026-06-22 · meta
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What We Do When a Tool We Recommended Gets Worse
Recommended tools change after we publish: prices rise, features get gated, owners change. Here is the process we follow to keep our reviews honest.
2026-06-22 · meta
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Why We Cross-Post to Five Platforms on Every Publish
The reasoning and mechanics behind pushing every new article to five surfaces at once — IndexNow, Bluesky, dev.to, Mastodon, and the canonical page — in one automated run.
2026-06-10 · meta
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Using AI to Turn Changelogs Into Release Notes People Actually Read
A practical workflow for turning raw git changelogs into release notes users finish reading — what AI does well, where it invents features, and the review gate you still need.
2026-06-09 · ai-knowledge-work
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What Shipping 490 Articles Taught Us About Content Velocity
Lessons from running an automated editorial pipeline to 490 published reviews: where velocity actually breaks, and the checks that keep throughput from becoming a liability.
2026-06-09 · meta
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Why Pickuma Doesn't Run Sponsored Posts (And How We Make Money Instead)
Sponsored posts pay the writer to like the product. Affiliate links pay only when you click and convert. Here's why pickuma picks the second model and where that still gets tricky.
2026-06-09 · meta
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How We Decide Which Affiliate Tools Make It Onto Pickuma
The editorial filters, disqualifiers, and ongoing checks behind every affiliate tool we recommend on pickuma — and why commission rate is the last thing we look at.
2026-06-08 · meta
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Ghost vs Beehiiv vs Substack: Picking a Newsletter Platform in 2026
A hands-on comparison of Ghost, Beehiiv, and Substack for developers and operators — pricing models, monetization, growth tooling, and data ownership compared in plain terms.
2026-06-04 · saas-productivity
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First SaaS Customers: The Distribution Channels That Actually Work
A realistic playbook for indie SaaS founders: the channels that land your first paying customers, how long each one takes, validation tactics, and the beginner mistakes that stall the first 90 days.
2026-05-21 · saas-productivity
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The Post-Launch Distribution Playbook for Solo SaaS Founders With Zero Users
A tactical guide for indie developers who shipped a product and got zero launch-day traction: where to post, how to write a launch post that gets read, and the SEO content loop that keeps working afterward.
2026-05-21 · saas-productivity
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The Self-Hosting Guide on GitHub: What It Gets Right About Local LLMs and Home Servers
A review of mikeroyal's Self-Hosting Guide, the GitHub resource for running local LLMs, WireGuard VPNs, Home Assistant, and private cloud on your own hardware — plus where self-hosting saves money and where it doesn't.
2026-05-20 · infrastructure
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r/programming Banned AI Content for a Month. Here's What the Trial Actually Showed
Reddit's r/programming ran a one-month ban on LLM-generated posts in April 2026. A measured look at what the trial revealed about AI slop, moderation tradeoffs, and where dev forums draw the line next.
2026-05-18 · meta