Real problems people complain about online, pulled every morning and scored out of 100. Build, validate, or skip. How scoring works
Ethical hackers submit bugs to bounty programs but receive no acknowledgment or feedback for extended periods, creating frustration and temptation to exploit maliciously instead.
X5mo agoToolDev
AI makes coding feel un-fun and unnecessary for manual work, while hand-coding seems tedious, paralyzing developers and reducing enjoyment.
X6mo agoToolDev
Frontend-heavy 'vibe-coded' applications feel sluggish like outdated websites, compromising user experience despite known trade-offs in development.
X5mo agoToolDev
Current DSA learning platforms fail to convert visitors to users despite validation payments; need gamified, effective interview prep tools.
X5mo agoToolDev
Threat intelligence analysts waste time manually analyzing dozens of obfuscated malware loaders packed with jump tables and CFFs, as LLMs fail on decryption logic and tools like Speakeasy break.
X5mo agoToolDev
Solo developers in Jira hell need an AI tool to automatically transform vague ideas and brain dumps into actionable tickets, superior to ad-hoc AI prompts.
X5mo agoToolDev
Hi HN!Druids (https://github.com/fulcrumresearch/druids) is an open-source library for structuring and running multi-agent coding workflows. Druids makes it easy to do this by abstracting away all the VM infrastructure, agent provisioning, and communication. You can watch our demo video here (https://www.youtube.com/watch?v=EVJqW-tvSy4) to see what it looks like.At a high level:- Users can write Python programs that define what roles the agents take on and how they interact with each other.- A program is made of events - clear state transitions that the agents or clients can call to modify state. Each event gets exposed as an agent tool.- Druids provisions full VMs so that the agents can run continuously and communicate effectively.We made Druids because we were making lots of internal coding tools using agents and found it annoying to have to rearrange the wiring every time.As we were building Druids, we realized a lot of our internal tools were easier to express as an event-driven architecture – separating deterministic control flow from agent behavior – and this design also made it possible to have many agents work reliably.We had issues with scaling the number of concurrent agents within a run, so we decided to have each program run in an isolated sandbox program runtime, kind of the same way you run a Modal function. Each agent then calls the runtime with an agent token, which checks who can talk to who or send files across VMs, and then applies the tool call.Our early users have found the library useful for:- running many agents to do performance optimization- building custom automated software pipelines for eg code review, pentesting, large-scale migrations, etc...We've heard that the frontier labs have the infrastructure to quickly spin up 100 agents and have them coordinate with each other smoothly in various ways. We're hoping that Druids can be a starting point to make that infrastructure more accessible.
Hacker News5mo agoToolDev
3-developer teams deal with Lambda timeouts at 2AM; tools like Kubernetes solve Google-scale problems, not theirs.
X5mo agoToolDev
Designers and freelancers hand-off Figma designs to developers; developers manually recreate HTML/CSS. An AI tool that converts Figma frames directly to responsive React/HTML code could save 20+ hours per project. [Google Search suggestion]
Google Trends5mo agoToolDevUS
Solo developers and indie hackers repeatedly build auth, billing, AI integration, and dashboards from scratch for each project, delaying launches by 2 weeks.
X5mo agoTemplateDev
Developers searching for ElevenLabs alternatives face fragmented open-source TTS options (Piper, Glow-TTS, Tortoise) with no unified API. A lightweight wrapper/manager tool could unify access, provide cost tracking, and simplify switching between open models. [Google Search suggestion]
Google Trends5mo agoToolDevUS
GoScale solved dynamic VM scaling and cost optimization for developers who struggled with manual infrastructure management and unpredictable cloud bills.
YC Graveyard14y agoToolDev
Tooling to compile machine learning models into efficient hardware implementations. Real problem as ML deployment complexity grows; now more viable as model ecosystems mature and AI coding tools improve.
YC Graveyard7y agoToolDev
Querying large folders, codebases, or research with LLMs is token-inefficient and lacks structure; need knowledge graphs without complex setup.
X5mo agoToolDev
AI coding agents produce copy-pasted, non-DRY code that becomes complex and fragmented, making projects hard to maintain despite functional results.
X5mo agoToolDev
Pentesters and security researchers repeatedly manually enumerate DNS records, determine live hosts, and request them in browsers to populate Burp Suite target sitemaps.
X5mo agoToolDev
Developers struggle with repeatedly describing UI issues in text to AI assistants like Claude; need visual annotation tools to draw on screenshots for faster corrections.
X5mo agoToolDev