VibeCode brings together:
Choose one direction. Or combine them into your own treasure.
Paste the Builder Handoff into AI. Build. Ship.
Days, not weeks.Not ideas. Real demand.
VibeCode listens to public discussions, detects recurring problems, and turns them into signals so you can see what may be worth building next.
I am experimenting with AI Profile of myself instead of sharing resume to the recruiters just to standout from the crowd. What does HN people think about this approach?
Because the little button isn't noticable enough for everyone
AI Is Breaking the SaaS Deployment Model: 10 Commandments for BYOC
Azure Load Balancer targets nodes, not pods. That mismatch causes four recurring problems for AKS workloads: Extra hops and latency (traffic lands on any node then forwarded to the pod-hosting node via kube-proxy, adding latency and SNAT contention on high-QPS paths). Source IP is lost (with externalTrafficPolicy: Cluster, the proxy hop strips client source IP; preserving it requires Local, which introduces its own failure mode). Traffic blackholing (with Local, the load balancer can send traffic to nodes without healthy pods because health is node-level; requests drop until probes catch up). Session instability (affinity is node-based, so pod rescheduling, scaling, or node rehash breaks sticky sessions). Desired solution: A container-native LB enabling direct, high-performance load balancing to pod endpoints, reducing latency and improving reliability by bypassing node-level proxies and providing granular health checks and session affinity at the pod level.
One signal alone may only look like a normal idea. VibeCode connects the signals that meet — a growing repo, a repeated complaint, a small product people already pay for — with your edge. That is how you spot a less obvious build direction with a stronger reason to test.
These are not distant big-tech examples. Most are solo founders, makers, or tiny teams — they won by seeing a small pain clearly and making it simpler, faster, or more contextual.
The cases below also started from a small friction point like this.
Many people do not fail because they lack ability. They fail because they start with an idea that is too broad, too vague, or not clearly needed by anyone. The longer you build, the harder it is to turn back. VibeCode helps you filter out directions that can waste your time, then keep one that is small enough, clear enough, and a better fit for you.
A note for Mara
Please keep going. I have dropped projects after building them, only to realise nobody needed them. If VibeCode helps someone avoid that even once, it is already worth paying for.
A short note
Hidden gem. Well done, Mara!
From SIUU
VibeCode is incredibly polished and high quality. I came here from Siuu — remember me? :D
Builder note
Solid concept. Some outputs could be shorter, but the thinking behind them is better than what I usually get from a blank ChatGPT conversation.
Builder note
The builder fit angle is the strongest part. Love it.
Builder result
Shipped on day 3. Got my first paying customer on day 5 and made $320 in the first week. Not huge money, but enough to prove I was building the right thing. Thanks, @marasynth.
Builder result
Built the smallest version possible, posted it in one community and got a $75 sale. I’ll take that.
Builder note
The first output was generic because my answers were generic. Tried again with more detail and it got much better.
Start free with 3 MVP directions. When you need a more differentiated direction, open 5 or 10 directions and combine the strongest pieces.
VibeCode is designed to use publicly available signals or permitted sources, then synthesize them into product opportunity analysis. We do not access private data, bypass login/paywalls, or copy original content for republication.
We use public signals or permitted sources: repo metadata, stars, forks, issues, update dates, reviews, and public discussions.
We do not read private repos, secrets, personal accounts, logged-in content, paywalled content, or internal developer/user data.
VibeCode sells analysis, product direction, and execution handoff — not community data repackaged as a database.
Outputs are summarized and reinterpreted for market research. They are not verbatim republications of third-party content.
VibeCode outputs are research and product-planning support. They are not legal, financial, or success-guarantee advice.
Respecting creatorsand source communities.
Following applicable lawsand platform terms.
Protecting datawithout storing personal information.
