When we launched oneinfer.ai five months ago, we set out to solve one problem, making AI infrastructure usable at scale through a unified inference layer, smart routing, and cost optimization.
What we didn't expect was how often a different problem would come up in every conversation with teams in production.
It wasn't the models. It wasn't even the infrastructure cost. It was the constant engineering tax of working around access, retry logic for rate limits, juggling multiple provider accounts, splitting prompts to fit token windows, building fallback chains for throughput ceilings, monitoring usage caps that change without warning.
It s a proof-based external vulnerability scanner for startups, SaaS teams, fintech products, and lean technical teams.
The problem I m trying to solve is simple:
Most small teams ship fast, but they don t always know what their external attack surface looks like. Traditional scanners often return long noisy lists, but not enough clear proof, context, or business impact.
Hey makers I m building Pathvio (https://pathvio.in/) an AI-powered platform focused on helping professionals navigate career growth more strategically. Features currently include: * AI career roadmap generation
* Resume analysis
* Skill-gap insights
* Career-switch guidance
* Personalized recommendations I m currently looking for early adopters willing to test the product and provide honest feedback on: * onboarding
* clarity
* usefulness
* feature prioritization
* overall experience Would love feedback from fellow builders and professionals. Happy to exchange feedback as well
Hello guys, Faraday the first ever promptlessly intelligent, incomparably organized, aware, secure, and gorgeous email client is now live! It is truly the only client in all these years, to have truly resolved the multitude of issues that have been prevalent in email.
Not a mere email drafter or a summarisation plugin, but the first of its kind in 5 decades. And there is a free 2 week trial for the entire community!
QELLVIS is a system intelligence framework that models internal behavior inside complex environments. It does not predict outcomes it exposes the structural mechanics that produce them.
Today we re releasing the full documentation:
System3 engine
Public API
Connect importer
Deterministic propagation logic
Structural behavior modeling
QELLVIS reads systems through pressure, flow and constraint propagation. It reveals bottlenecks, overloads and hidden accumulation long before visible failure.
Hi , im looking for android users who want to try my new app. LiftBuddy is the only gym tracker you will ever need.
If you are tired of tracking your workouts in your phone notes app or flipping through old notebooks to find your previous sets, LiftBuddy is the perfect solution for you.
LiftBuddy allows you to quickly find any exercise without wasting time searching through pages of notes. The interface is clean, simple, and extremely intuitive.
I have been working on an AI roleplay website called SelectiveDream where you can talk to different characters such as anime, superheroes, fictional personalities and so on. You can create your own characters and control how they behave. There are similar services but I've fallen to the AI hype.
I tried to do the following:
Freedom - ability to create any character that you want. (there are a few exceptions)