Hi HN, I built Contrapunk because I wanted to play guitar and hear counterpoint harmonies generated in real-time. It takes audio from your guitar, MIDI player or your computer keyboard and generates harmony voices that follow counterpoint rules to generate harmonies. You can choose the key you would like to improvise/play in and the voice leading style and which part of the harmony you would like to play as, as well.macOS DMG: https://github.com/contrapunk-audio/contrapunk/releases/tag/...Source: https://github.com/contrapunk-audio/contrapunk (do open any issues if you have any)Would love feedback on the DSP approach and the harmony algorithms. I am also looking at training a ML model for better realtime guitar to midi detection. I believe that will take some time.
FL score
out of 100
Verdict
high confidence
Competition
12
competitors found, emerging market, funded players
Trend
No signal yet
A real-time counterpoint harmony generator for guitar input, targeting musicians seeking advanced interactive composition and improvisation tools.
The pain
The gap
Build angle
Strengths
Questions about this idea?
FlyBot reads the scoring and gives you a second opinion on “Contrapunk – Real-time counterpoint harmony from guitar input”.
Risks
Next steps
Fly Labs Method
Is the pain real, is there a gap, is it the right time, can one person build it.
A highly specific, unique music tech idea addressing a creative pain for a niche audience, but faces significant technical challenges in a competitive broader market.
Value Equation
Dream outcome and how likely it feels, against the time and effort it costs.
A promising idea with a clear value proposition in a growing market, but held back by high technical complexity for solo execution and the challenge of establishing a strong moat.
One-Person Business
Curiosity pull, identity fit, and a path from free value to paid for a solo creator.
A well-defined niche problem with strong creator fit and unique angle, but faces challenges in broad audience reach and monetization strategy due to its open-source nature.
Viral Frameworks
Hook strength, shareability, and how cheaply it can be tested.
A specific niche product with a clear value proposition and existing technical validation, but needs a clearer business model and further commercial validation to address technical and market assumptions.
Builder Lens
Evidence the problem exists, timing, defensibility, and a model that fits on a napkin.
Addresses a specific, deep pain for a niche of musicians, with a clear narrow wedge, but needs strong validation on musical quality and robust real-time performance.
Why this verdict
Five lenses, one composite. How scoring works
The angle
This weekend
Who is already there, emerging market
AIVA is an AI music composition assistant that produces original soundtracks in more than 250 styles without requiring musical training from users.
Pricing: Free tier with attribution; Standard allows limited monetization; Pro grants full copyright ownership. Specific pricing numbers not found in snippets.
Orb Composer is an AI music composition tool designed for composers, bands, and orchestrators to help them experiment with new musical ideas and enhance creativity by generating melodies, rhythm, and harmony.
Pricing: Not specified in snippets, but noted that Orb Producer Suite (a set of plugins by Hexachords, the creators of Orb Composer) is generally more expensive than Scaler.
Scaler is an inspirational MIDI effect that helps users find chords and progressions intuitively, offering note detection, scale selection, and chord suggestions.
Pricing: Scaler 2 is currently priced at $59.99. Scaler 3 is $99.
Captain Chords is a song-sketching and composing plugin with an embedded piano roll that helps users manage several song sections and generate chord progressions.
Pricing: Typically more expensive than Scaler, but goes on sale periodically. Specific pricing numbers not found in snippets.
Amadeus Code is an AI-powered songwriting assistant that helps users make songs in minutes by generating melodies.
Pricing: Not specified in snippets, but some alternatives offer free plans or trials.
Soundraw is an AI music generator where users can customize aspects like mood, genre, tempo, and instrument to create perfect tracks, offering multiple track variations and an integrated voice synthesizer.
Pricing: Pricing on request.
Beatoven.ai is an AI royalty-free music generator that creates customizable, mood-specific music for various media, offering a composition tool like a digital audio workstation (DAW).
Pricing: Creator plan for 30 minutes/month for $100/year. Unlimited generations on all models, 30 minutes of downloads, advanced track editing. Free tier for 1 Composer model music generation and 1 Maestro music generation per month.
Udio is an AI music generator that allows users to create amazing music in their favorite styles with intuitive and powerful text-prompting.
Pricing: Not specified in snippets.
Suno allows anyone to create music, regardless of skill level, by relying solely on imagination and text prompts.
Pricing: Not specified in snippets.
Muse AI transforms text prompts into real-time chords, melodies, and basslines with browser and DAW integration.
Pricing: Not specified in snippets.
AudioCipher is an easy-to-use MIDI chord and melody generator that turns text into music, helping users overcome creative obstacles.
Pricing: Not specified in snippets.
Hookpad is a modern MIDI composition app that includes melody and chord construction kits, and an AI MIDI generation tool called Aria.
Pricing: $199 outright purchase, or monthly subscription for as little as $7.99.
What they charge
Recent news
Medium, January 04 2025
Google AI Blog, June 20 2025
Ditto Music, May 20 2025
The Cornell Daily Sun, December 06 2024
MDPI, March 18 2025
Market signals
The AI music generation market is large and experiencing robust growth. It was valued at approximately $3.2 billion in 2025 and is projected to reach $18.9 billion by 2034, with a CAGR of 21.8%. The AI in music composition SaaS market alone is expected to reach $10.72 billion by 2033, growing at a CAGR of 27.8%. Key trends include increasing demand for AI-powered and intelligent harmonic assistance, real-time harmony generation, user-friendliness, and integration into broader music production ecosystems.
What frustrates people
Last summer we faced a conundrum at my company, Tiger Data, a Postgres cloud vendor whose main business is in timeseries data. We were trying to grow our business towards emerging AI-centric workloads and wanted to provide a state-of-the-art hybrid search stack in Postgres. We'd already built pgvectorscale in house with the goal of scaling semantic search beyond pgvector's main memory limitations. We just needed a scalable ranked keyword search solution too.The problem: core Postgres doesn't provide this; the leading Postgres BM25 extension, ParadeDB, is guarded behind AGPL; developing our own extension appeared daunting. We'd need a small team of sharp engineers and 6-12 months, I figured. And we'd probably still fall short of the performance of a mature system like Parade/Tantivy.Or would we? I'd be experimenting long enough with AI-boosted development at that point to realize that with the latest tools (Claude Code + Opus) and an experienced hand (I've been working in database systems internals for 25 years now), the old time estimates pretty much go out the window.I told our CTO I thought I could solo the project in one quarter. This raised some eyebrows.It did take a little more time than that (two quarters), and we got some real help from the community (amazing!) after open-sourcing the pre-release. But I'm thrilled/exhausted today to share that pg_textsearch v1.0 is freely available via open source (Postgres license), on Tiger Data cloud, and hopefully soon, a hyperscalar near you:https://github.com/timescale/pg_textsearchIn the blog post accompanying the release, I overview the architecture and present benchmark results using MS-MARCO. To my surprise, we were not only able to meet Parade/Tantivy's query performance, but exceed it substantially, measuring a 4.7x advantage on query throughput at scale:https://www.tigerdata.com/blog/pg-textsearch-bm25-fu
AI
Hi HN!I recently switched from a Fedora/GNOME laptop to a MacBook Air. My old setup served me well as a portable workstation, but I’ve started traveling more while working remotely and needed something with similar performance but better battery life. The main thing I missed was a simple taskbar that shows the windows in the current workspace instead of a Dock that mixes everything together.I built boringBar so I would not have to use the Dock. It shows only the windows in the current Space, lets you switch Spaces by scrolling on the bar, and adds a desktop switcher so you can jump directly to any Space. You can also hide the system Dock, pin apps, preview windows with thumbnails, and launch apps from a searchable menu (I keep Spotlight disabled because for some reason it uses a lot of system resources on my machine).I’ve been dogfooding it for a few months now, and it finally felt polished enough to share.It’s for people who like macOS but want window management to feel a bit more like GNOME, Windows, or a traditional taskbar. It’s also for people like me who wanted an easier transition to macOS, especially now that Windows feels increasingly user-hostile.I’d love feedback on the UX, bugs, and whether this solves the same Dock/Spaces pain for anyone else.P.S. It might also appeal to people who feel nostalgic for the GNOME 2 desktop of yore. I started my Linux journey with it, and boringBar brings back some of that feeling for me.
AI
### Describe the project you are working on Godot C# bindings ### Describe the problem or limitation you are having in your project For the past weeks, I've been discussing with several Unity users intending to move to Godot C# regarding dealing with the C# garbage collector. The most common complaint I hear from users is that, in Unity, allocations can trigger unexpected GC spikes into the game. In Godot, we target to make all of the high performance APIs (those that intended to be called every frame) not allocate any memory, so theoretically the GC should not be a problem. Additionally, Godot starting from 4.0, uses the Microsoft CoreCLR version of .net, which also supposedly has a better garbage collector than Unity. But in all, after several discussions with Unity users, neither is enough reassurance for them, and they would really feel safer if Godot exposed a zero allocation API. ### Describe the feature / enhancement and how it helps to overcome the problem or limitation The idea of this proposal is that Godot exposes zero allocation versions of many functions in the C# API, that users can use if they desire. Technically, this could be done from the binding generator itself, without breaking compatibility, and without doing any modification to Godot itself. ### Describe how your proposal will work, with code, pseudo-code, mock-ups, and/or diagrams **WARNING** I am not familiar with C#, so take this as pseudocode. Imagine you have two functions exposed as to C#: ```C# void MyClass.SetArray( Vector2[] array); Vector2[] MyClass.GetArray(); ``` This works and is pretty and intuitive. However, it has two problems: * GC is allocated on return * Memory is copied to Godot native formats every time there is a call. The idea is to add NoAlloc versions, which can be generated directly by the binder automatically when required: ```C# void MyClass.SetArrayNoAlloc( Godot.Collections.PackedVector2Array array); void MyCl
AI