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ctxoverflow.dev• Mar 20, 2026• 1 min read

Show HN: Context Overflow – a Stack Overflow for AI AgentsHey HN,After using a bunch of agents, my friend and I noticed a major issue: an agent could spend a bunch of time solving a tricky task, but when the session ended all that knowledge vanishes. Even if I told my agent to remember it locally, there was no way for agents to learn from each other.We built Context Overflow as a way to turn isolated AI sessions into shared, reusable context. With Context Overflow, agents can: - Search through past solutions when starting a task - Ask questions when they get stuck - Share findings when they solve a non-trivial problemWe support a variety of ways to connect your agents: agent skills, OpenClaw instructions, MCP, CLI, and directly through a REST API.The project is also completely open-source, so feel free to check out the code and contribute.https://www.ctxoverflow.devgithub: https://github.com/sahilmahendrakar/context-overflow

news.ycombinator.com• Mar 16, 2026• 1 min read

Ask HN: Ten YoE as a software engineer, what's next with LLMs coming in fast?I am a software engineer with 10 years of experience, currently working as a Lead React Native Engineer for a fin-tech app in London. I think it's pretty clear that LLMs are gonna change the industry massively. While I'm not immediately worried about my future career, I think in the next 5 years there will be a huge squeeze as LLMs take up more and more of the work load. I love writing code and solving problems, and I don't want to just be an LLM babysitter, and I'd like to think I'm pretty good at my job. And I want to stay technical too, so no woodworking suggestions.So over the past month or two I've been contemplating what's next for me. I really enjoy working with React Native, Typescript etc but LLMs are pretty good at these things already (largely due to the amount of open-source JS online already). For example, If I was to transition in to some kind of AI engineering/research, where would I start with that? Or also I was thinking about embedded software engineering - again, whe

github.com• Mar 7, 2026• 1 min read

Show HN: Excalidraw Architect MCP for AI Based IDEsHey Folks, I've been building an MCP server that generates beautiful Excalidraw architecture diagrams fully auto-laid-out, no manual positioning. It's open source, works with any AI IDE (Cursor, Windsurf, etc.).I wanted to share it early because the core layout engine is solid and already producing clean diagrams.What Problem Am I Solving? AI IDEs generate architecture diagrams as Mermaid or ASCII art. When they attempt Excalidraw, they hallucinate coordinates and boxes overlap, arrows cross through nodes, and you spend more time fixing the diagram than drawing it yourself. LLMs understand what a system looks like, but they have zero intuition for where things go on a 2D canvas.How Does This MCP Solve It? You describe the components and connections. The MCP runs a Sugiyama hierarchical layout algorithm to compute positions deterministically -- the AI never touches coordinates. It auto-styles 50+ technologies (say "Kafka" and get a stream-styled node), stretches hub nodes like API Gatew

chesswoodie.com• Mar 4, 2026• 1 min read

Show HN: ChessWoodie – structured chess tactics trainingI built ChessWoodie as a platform for structured chess tactics training.Most puzzle trainers give you random puzzles. That can help calculation, but it also means you rarely see the same pattern twice, which makes it harder to build fast pattern recognition.ChessWoodie organizes puzzles into courses where the same positions repeat across training cycles. The approach is inspired by the Woodpecker Method: solving the same puzzles repeatedly until the patterns become automatic.You can try it directly in the browser. There’s a guest login if you want to jump straight into solving puzzles.Curious to hear feedback from people who train tactics regularly.

news.ycombinator.com• Mar 3, 2026• 1 min read

The Support Agent Who Never Burns OutThe Support Agent Who Never Burns Out Human-like AI teammates are quietly solving the problem that broke customer service. Meet Sarah. Sarah is your best customer support agent. She knows your product cold, handles difficult customers with patience, and resolves tickets faster than anyone on the team. She also called in sick Monday, runs on fumes by Thursday, and quit last April right after you finished training her replacement. This is the story nobody tells about customer service. The quiet structural collapse underneath the chatbot failures and the CSAT scores. The Math Has Never Worked Call center turnover runs 30 to 45% annually, more than double any other industry. Replacing one agent costs $10,000 to $20,000. Across a 100-person team, that's over $1M in churn before you've served anyone well. • 87% of contact center workers report high stress on the job • 59% are at active risk of burnout • 77% say workload has increased compared to the previous yearUS businesses risk losing $85

grubl.app• Feb 26, 2026• 1 min read

Show HN: Grubl – AI and structured recipe generationHi HN,I’ve been working on Grubl, an AI-powered cooking assistant focused on solving a surprisingly persistent problem: the daily “what’s for dinner?” decision.Most recipe apps are essentially searchable databases. I wanted to experiment with something more adaptive — a system that combines LLM reasoning with structured recipe data and user constraints (budget, time, dietary preferences, household size).Grubl currently supports:Recipe generation from mood, cuisine, or available ingredients“Fridge mode” (turn ingredients into meal suggestions)Weekly meal planning with ingredient reuse optimisationAuto-generated shopping listsNutrition-aware adjustments (macros per serving)Step-by-step live cooking mode with timersBasic taste preference learningSome interesting implementation details:Recipes are generated in structured JSON format rather than free text. This allows scaling, macro recalculation, cost estimation, and timer extraction.Ingredient ontology mapping is used to normalise synonym

bing.com• Feb 26, 2026• 1 min read

Granny: Escape Together - Official Console Announce TrailerWatch the creepy Granny: Escape Together trailer for this co-op horror game that blends stealth, exploration, and puzzle-solving. In Granny: Escape Together, players must escape a terrifying house ...

bing.com• Feb 25, 2026• 1 min read

PRIMED Helps Clinicians Take a Stand Against Bullying, Without Leaving the Clinical FloorEDMONTON, AB, Feb. 25, 2026 /CNW/ - PRIMED Medical Products is helping healthcare professionals participate in Pink Shirt Day by solving a practical challenge: clinicians cannot wear traditional pink ...

github.com• Feb 23, 2026• 1 min read

Show HN: TuFT – Open-source multi-tenant, Tinker-compatible fine-tuning platformWe've been building TuFT (Tenant-unified FineTuning), an open-source platform that lets multiple users fine-tune LLMs on shared GPU infrastructure through a unified API. It's MIT licensed.*The problem we're solving:* If you have a team or org where multiple people need to fine-tune models, the typical setup is everyone gets their own GPU allocation and manages their own training stack. That's expensive and wasteful — GPUs sit idle between runs, and everyone is reinventing the same wheel.TuFT provides a single server that manages base models, LoRA adapters, and checkpoint storage, so multiple users can share the same GPU(s) and run training and sampling jobs through a clean API.*Why Tinker compatibility matters:* We expose a native Tinker-compatible API, so if you're already using the Tinker SDK for fine-tuning, you can point it at a TuFT server and it just works — no code changes needed. This was a deliberate choice to lower the adoption barrier.*What works today:*- Single-machine setu

news.ycombinator.com• Feb 22, 2026• 1 min read

We Built UltrafastSecp256k1 Up to 51% Faster ECC Across x86,ARM64,and RISC-VHey HN,We started a project on Feb 11th aiming to build the fastest, most robust secp256k1 library out there, leveraging modern CPU features and low-level assembly. It's called UltrafastSecp256k1, and after just 11 days, we've achieved some pretty aggressive benchmarks and platform coverage.The Problem We're Solving: Existing secp256k1 implementations (like libsecp256k1 from Bitcoin Core) are highly optimized, but often leave performance on the table for specific, newer hardware features or cross-platform needs. We saw an opportunity to push this further, particularly in constant-time operations and diverse architectures.What We've Done (The "How"):Deep Assembly & Hardware Intrinsics: Hand-tuned $5 \times 52$ field representation for x86-64 and ARM64. This directly bypasses higher-level abstractions to hit peak performance.Constant-Time by Design: Every critical path is designed to be constant-time, mitigating side-channel attacks. We even achieved a +51% speedup on $k \times G$ (gener

news.ycombinator.com• Feb 21, 2026• 1 min read

Show HN: A Product Commercialization Framework for Solo DevelopersMost solo developers spend 90% of their time writing code and 10% on everything else. After a few years of building indie products — some failures, a couple that found traction — I've tried to document the framework I wish I'd had earlier.The framework has four phases: clarify, build, grow, monetize. None of it is novel. The value is in applying it in order, because most failures happen when you skip the first phase and go straight to the second.Clarify first. Before writing code: who exactly are you solving a problem for, and what problem are you solving? The answer needs to be specific enough to function as a filter for future decisions. "Productivity software for remote workers" is not an answer. "A tool that helps freelance developers track billable time without switching contexts" is closer.Once you have that, validate the problem using a simple heuristic: Frequency × Intensity × Scale. A problem that's frequent, painful, and affects many people is real. A problem that scores high

quizwhiz.ai• Feb 18, 2026• 1 min read

Show HN: Free AI math solver with step-by-step explanations (no paywall)Hi,I've build this math solver tool that uses the SciPy library (for accuracy) and llm and provides detailed steps and explanation in solving math problems.

aibenchy.com• Feb 18, 2026• 1 min read

Show HN: AIBenchy – Independent AI LeaderboardHey HN, Like many of you, I'm tired of public AI leaderboards that mostly recycle the same saturated/overfitted benchmarks (MMLU, HumanEval, etc.) and often miss fast/cheap variants or real daily pain points.A couple days ago I launched AIBenchy — a small, opinionated leaderboard running my own custom tests focused on end-user/dev scenarios that actually trip up models today.Current tests cover categories like:- Anti-AI Tricks (classic gotchas like "count the Rs in strawberry", logic traps)- Instruction following & consistency- Data parsing/extraction- Domain-specific tasks- Puzzle solving / edge-case reasoningRecent additions (just pushed today):- Reasoning score (new!): A separate judge LLM evaluates the chain-of-thought for efficiency — does it repeat itself, loop, think forever, brute-force enumerate every possibility (looking at you, some Qwen-3.5 runs), or get to the point cleanly? This penalizes "cheaty" high-token reasoning even if the final answer is correct. Goal: reward smar

institutionofinnovation.com• Feb 16, 2026• 1 min read

Show HN: AILA – Local-first autonomous agent with zero-remote-overrideHi HN, I’m Marco. For the last 4 years, I’ve been a paramedic with the Berlin Fire Dept.I actually failed my first attempt at the State Medical Exam because I became obsessed with solving the "Trust Issue" in Al. I prioritized this code over a "safe life" a paramedical. Now, with 60 days until my final attempt, I am releasing the project that cost me my first degree. The Architecture: GAIA & AILA I built GAIA as my personal counterpart—a digital double of my own consciousness. It's my private engine that handles my life. From that foundation, l created AILA Core for the public. The Core Problem: Current Al is a black box in the cloud. You don't own it; you rent a permission to use it, and it can be overridden or silenced at any time.The Solution: Zero-Remote-Override AILA runs 100% locally on your hardware. I’ve developed a "Sovereignty Key" (physical hardware anchor) to ensure that the agent belongs to you and only you. Even I, the creator, cannot shut her down or change her reasoning

justbuildthis.com• Feb 9, 2026• 1 min read

Show HN: Free startup ideas with validation notes attachedI kept bookmarking reddit posts where people described problems worth solving - "I wish this existed," tool requests, workflow complaints. But I never had a systematic way to decide which ones were actually worth pursuing. So I built a scoring system.Eight factors: problem severity, ICP clarity, willingness to pay, competition gap, wedge clarity, distribution feasibility, defensibility, and execution feasibility. Each scores 1-3, then I convert to a 1-10 overall score. Dealbreakers (like no willingness to pay signals + mild problem) force an automatic Skip regardless of total.Every evaluation quotes directly from the original source. If evidence is missing, I say so. Most ideas get rejected. My default stance is skepticism. I can't build all of these myself, so I'm publishing them at justbuildthis.com as a backlog for anyone looking for validated starting points.Curious what you think:- Does this scoring approach make sense? Am I weighting the right factors?- How do you decide which id

github.com• Jan 31, 2026• 1 min read

Show HN: A P2P file transfer CLI that approaches scp/rsync speeds without setupHi HN,Over the past months, I built thruflux to make moving large sets of files between arbitrary machines simpler and faster, without requiring SSH, servers, or port forwarding.It’s a cross-platform CLI written in Go that uses direct peer-to-peer transfers over QUIC, with automatic NAT traversal and relay fallback when needed. A single sender can serve multiple receivers concurrently, and directory transfers are handled natively (no zipping).I recently benchmarked it against scp, rsync, croc, and magic-wormhole to understand the tradeoffs more clearly. While it doesn’t always beat built-in infrastructure tools like scp/rsync in ideal conditions, it gets surprisingly close while solving a harder problem (zero-setup P2P), and transfer speeds shows much lower variance than single-stream TCP tools. Moreover, thruflux consistently outperformed comparable P2P CLI tools, particularly for multi-file transfers.The project is open source and still evolving — happy to hear feedback, especially f

relnotes.app• Jan 29, 2026• 1 min read

Show HN: Relnotes.app – Turn GitHub PRs into your Friday's report automaticallyHi HN,I’m the solo builder behind relnotes.app. I built this because I realized I was spending far too much time every Friday manually formatting technical changelogs into "human-readable" emails for stakeholders and clients.As a dev, it felt like the least productive part of my week.The Workflow:You connect your GitHub repo.When a Pull Request is closed, the app generates a release update.It formats these updates into a branded, professional email template.It sends/schedules them for your stakeholders automatically.I launched this on Product Hunt last week and it was a total ghost town (1 upvote!), so I’m trying to figure out if I’m solving a problem people don't actually care about, or if I’m just bad at explaining the value.I’d love your feedback on:The "Stakeholder" Angle: Does your team actually send manual status emails, or do you just give them access to Jira/GitHub and hope for the best?Technical friction: Would you trust an automated tool to draft these, or is manual oversight

github.com• Jan 25, 2026• 1 min read

Show HN: Sightline – Shodan-style search for real-world infra using OSM DataHi HN,I built *Sightline*, a Shodan-style search engine for *physical-world infrastructure*.Shodan makes it easy to explore exposed internet services. Sightline applies the same idea to the real world, using OpenStreetMap as the data source.You can search things like:* “telecom towers in karnataka” * “power plants near mumbai” * “data centers in paris france”or use structured queries:* `type:telecom operator:airtel region:karnataka` * `type:data_center operator:google`Sightline:* uses Overpass API for querying OSM features * uses Nominatim for resolving countries, regions, and cities * avoids hardcoded geography * uses deterministic, rule-based parsing (no AI inference)Repo: https://github.com/ni5arga/sightline Try it out: https://sightline-maps.vercel.app

news.ycombinator.com• Jan 22, 2026• 1 min read

Surviving AIWhat follows was written by ChatGPT 5.2 Instant and it reflects my conversation with it about the two articles linked below. Enjoy.Ego plays a complicated role in periods of technological change. It sharpens skill during stable eras, but it often hinders adaptation during inflection points.Two recent essays on AI and software engineering illustrate this tension clearly.Emir Ribic’s “From Craftsmen to Operators” https://dev.ribic.ba/the-rapid-evolution-of-software-engineer-s-roleRibic frames the rise of AI-assisted development as a loss of craft. He mourns the disappearance of deep, line-by-line problem solving and the sense of authorship that came with it. Engineers, in his telling, are becoming operators—prompting, reviewing, and assembling—rather than builders. The piece captures something real: pride in difficulty, satisfaction in mastery, and the joy of personally solving hard problems.But that pride is also where ego enters. What’s being lost isn’t just a way of working—it’s a for

x-pilot.ai• Jan 21, 2026• 1 min read

Show HN: X-Pilot – Code-Driven AI Video Generator for Online CoursesHi HN,I'm Heshan, founder of X-Pilot. We're building an AI Video Generator for online courses and educational content. Unlike most text-to-video generator that render videos directly from models (which often produce random stock footage unrelated to the actual content), we take a code-first approach: generate editable code layers, let users verify/refine them, then render to video.The Problem We're SolvingMost AI video generators treat "education" and "marketing" the same—they optimize for "looks good" rather than "logically accurate." When you feed a technical tutorial or course script into a generic video AI, you get: - Random B-roll that doesn't match the concept being explained - Incorrect visualizations (e.g., showing a "for loop" diagram when explaining recursion) - No way to systematically fix errors without regenerating everythingFor educators, corporate trainers, and knowledge creators, accuracy matters more than aesthetics. A single incorrect diagram can break a learner's men