MakeBPM

MakeBPM

AI music studio for creators to generate songs, beats, and soundtracks from ideas.

Coming soonLaunches Monday, Nov 2 · in 32 days

AI & Machine Learning·Productivity·Music

About

MakeBPM is an AI music studio designed for creators to generate songs, beats, background music, and soundtracks from a simple prompt, lyrics, or reference audio. No music theory or technical skills are required to turn an idea into a polished audio track in just a few minutes.

The platform is built for creators working on videos, podcasts, games, social content, and personal projects who need fast access to custom music. Users can describe a mood or genre, paste lyrics, or upload a reference track to guide the sound and energy.

What sets MakeBPM apart is the ability to shape the music further after generation with tools for extending, transforming, and refining tracks. It also offers a suite of related tools including an AI lyrics generator, BPM finder, key finder, and stem splitter for full creative control.

PricingFreemium

Publisher

Joined Jul 2026

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2722 dispatches from hundreds of founders, pulled from the week's best podcasts.

Onboarding
anytime someone has a launch video that has anything to do with scraping social media then I comment saying 'Hey I'll give you 10K free credits if you'll try my API.'

Offer free credits on relevant launch posts to convert developers instantly

Rather than relying on a traditional onboarding funnel, Adrian intercepts developers at the exact moment they publicly announce a scraping-related project and hands them enough credits to experience real value immediately. This removes sign-up skepticism because the offer is contextually relevant and the prospective user has already demonstrated intent by launching a product in the space.

Product
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Buried High-Completion Content Is a Hidden Revenue Unlocking Opportunity

Bluey had near-100% episode completion rates and high rewatch frequency on Disney+ — but it was buried in a last row, 25 rows down, with no way to pin it after watching. Taylor Wells used completion data to argue for surfacing it prominently. The lesson: completion rate and rewatch rate reveal which content users would pay to keep accessing. If you find any feature with anomalously high engagement buried in your product, move it front and center before building anything new.

There's a play for whatever you're stuck on.

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