I spent the last few weeks building Co-Found so devs don't have to build side projects alone
I think most developers have experienced this: you build a really cool side project, the tech stack is solid, the code is clean... but then nothing happens. No users, no sales, no marketing. I m great at building, but marketing have never been my strong suit. And whenever I tried finding someone on LinkedIn or Reddit to team up with, it was either full of corporate recruiters or spam filters blocking genuine collaboration. Even with a friend, i felt like i did 90% of the work. So I decided to build a dedicated place for this: Co-Found (https://co-found.site/). It s completely free to browse and test out. The idea is simple: Filter and find co-founders based on actual tech stacks and roles (developers, designers, growth, idea people). Instead of cold connection requests, you pitch what you want to build together. Built-in workspaces with chat, task boards, and a quick "prenup" tool so both sides agree on expectations and equity before spending months coding. And so much more features and tools i wont be able to fit in here haha. Since this community is full of developers who actually build things: What has your experience been trying to find co-founders or team members for side projects? If you check out the site, what s the first thing you feel is missing or broken? Im always looking for feedback and listening to my users all the time to improve this site. So it would mean alot if you all in the community would check it out and give me feedback!
Blown Speaker Simulator – Turn your browser into a cheap car subwoofer
Have you ever wanted your high-end laptop to sound like a 1998 Honda Civic with a blown-out subwoofer? Probably not, but now you can!
Blown Speaker Simulator is a novelty Chrome extension built to test the absolute limits of Chrome's Manifest V3 and the Web Audio API. It captures your active tab's audio, isolates the low-end frequencies, and applies heavy digital distortion in real-time.
How it works under the hood: Since MV3 service workers don't support AudioContext natively, the extension uses chrome.tabCapture to send the media stream to a persistent Offscreen Document. Down in that layer, a BiquadFilter isolates and boosts the bass (+28dB), and a WaveShaperNode applies real-time clipping without perceptible latency.
I built this entirely with the help of AI, experimenting to see if I could create a complex audio graph without any prior audio engineering background.
How are you connecting the dots between your business tools?
Hello Everyone.
I've been building an enterprise AI product around a problem I've experienced firsthand: companies can have dozens of SaaS tools, dashboards, and databases, yet understanding what is actually happening across the business can still require a lot of manual work.
A sales issue might be connected to something in customer support. A revenue change might have an operational cause. An IT problem might eventually affect sales or customer experience.
The data exists but it's usually separated by systems and departments.
Inside VeilDVPN: How we built a decentralized, crypto-native VPN on Android
Hey Product Hunt community, Mullet here!
When people use a traditional VPN, they often think they re hiding their data. In reality, they are just shifting their trust from their ISP to a single centralized VPN provider, hoping that company doesn't secretly log activity, bow to legal pressure, or get hacked.
Built SERP Preview Tool to simulate title pixel widths & meta descriptions—would love your feedback!
Hey Product Hunt community!
When optimizing pages for search engines, writing great titles and meta descriptions is only half the battle. If a title exceeds Google s pixel limits, it gets truncated with an ellipsis (...), which can harm organic click-through rates (CTR).
Open Source Multi-Tenant Contact Center Solution - FreeSwitch Based | No License fee
Hello VoIP Owners/ ISP's & Audience,
I am Rizwan, a founder of Anrizvoip offering Multi-tenant contact center solution built on Freeswitch which is completely free of cost - Open source.
A strong competitors of VICIdial.
A complete powerpack of Multi-tenant contact center solution available with Source code.
Looking for a Co-Founder to Build ZeroFrik With Me
Hey everyone,
I m the founder of ZeroFrik, and I m looking for a co-founder who genuinely wants to build a company for the long term.
I m a software engineer and have been building ZeroFrik alongside my full-time work. We re already working on real products, including:
UpdateProof a WordPress maintenance/update safety product
1Tap an Android SMS-based expense tracker
New SaaS ideas that we re currently researching and validating
Here is my launch with 2400+ users and 80+ premium users
Hey everyone!
Just wanted to share a brand new tool I've been working on that's launching today on Product Hunt,
When should an edited client caption need fresh approval?
I m Karthik, the maker of PostRoom, launching today. I d value a practical view from people who review client content.
Here s the edge case: a client approves a caption, then someone changes the wording before it reaches the scheduler. The approval was for the old text.
I chose a simple rule: any saved caption edit clears that version s approval. The changed caption needs a fresh client decision before it can enter the approved-only CSV. Clients use an expiring review link and need no account. This covers text only; visual proofing and publishing stay in your existing tools.
For your workflow, would every edit need reapproval, or would you distinguish a typo fix from a changed claim or CTA? Who should make that call? I d also like to hear how you keep the final approved text intact when handing it to a scheduler.
How do you proper personalize search & recommendations?
Hi everyone! I built a Python SDK for search and recommendations, but not in the way you would expect. I d be interested in how people here would evaluate the approach.
It uses BehaviorGPT, a 12.5B parameters behavioral model trained on sequences of user actions to predict what happens next. Note; this isn t a language model.
Products are embedded from their images and attributes, and the model uses purchase patterns learned during pre-training to rank items in a new catalog. You can use it for natural-language search and recommendations conditioned on intent and interaction history.