... model living in the same model picker, which ran all six answer files itself. Humans did exactly one job in this pipeline: invigilation. Final score:  90 to 70. The winner also used 15% fewer output tokens (11,702 vs 13,799).  If you don't trust an AI's grading all six raw

... Title: I found a real production bug by reading a raw Postgres error with zero coding background Three months ago I couldn't read a stack trace. Today I fixed a bug that was silently breaking check-ins for every user by tracing a foreign key error down to one line in a migration file. Some context : I'm building Ember, an AI accountability app, completely solo, using AI coding tools to write basically everything. No CS degree, no prior ...

... roughly 3-4x the token use of Codex on comparable work, so depending which pair you're comparing, the "efficient" tool flips. Zero-shot capability and token frugality don't always come from the same tool. On raw benchmark performance, Claude Opus 4.6 sits around 80.8% and GPT-5.5 powering Codex around 88.7% on the metrics one source tracked, but Claude Code holds an 88.6% SWE-bench Verified score by another measure. The benchmarks genuinely don't agree with ... ... each other depending on methodology, which is its own lesson. Price-per-output tells a different story than raw

... fairly new to photography, and editing was the wall: you shoot RAW because everyone says to, the file opens flat, and the fix is an editor with a lot of sliders. I'm a developer, so I built the tool I couldn't find. RevelRaw classifies the scene on-device and ranks its 40+ presets so the ones suited to that image surface first; from there you fine-tune, compare, and export. It reads 24 RAW

... The starting line New domain, launched in January. No indexed pages, no referring domains, no keyword rankings, nothing for search ...

... product is garbage. The positioning is wrong. I picked the wrong stack." But after the initial sting wore off and I talked to a few fellow builders, I realized something important: Silence isn't failure it's just raw data. Here are 3 hard lessons I learned from that quiet week: "Cool product" doesn't mean "I'll use it": I sent the link to 15 friends. They all said "looks super clean!" but none of them actually used ... ... socials. For anyone who has been through this: What was your "oh shit" moment right after launching? How did you break through that initial wall of silence to get your first 10 active users? Would love to hear your raw

... studies measuring AI Overviews or Perplexity find they still matter. The shift in 2026: Backlinks are a gate, not a dial. A Semrush study of 1,000 domains found that authority score correlated with AI mentions at Pearson 0.65. Raw backlink volume correlated much more weakly. The relationship is threshold-shaped. Low-authority domains collect a handful of citations; top-tier domains collect dozens. Brand mentions now rival raw

... gearing up to launch NexQL an AI-native PostgreSQL extension built entirely inside VS Code to replace bloated standalone clients and fragmented extensions. We've integrated everything from a fluid tree explorer and interactive SQL notebooks to visual schema designers and live dashboard monitoring directly into your editor. But here's the thing: we don't want to build this in a vacuum. We want to build it for your daily engineering workflows. Whether you are optimizing massive multi-tenant ... ... schema layout, we want to know what hurts the most about your current local or cloud database setup. We d love to hear your thoughts on: What is the single biggest missing feature or annoyance in your current VS

... Import folder" button in the add dropdown. It scans the entire folder tree recursively, finds all supported files, shows you a count, and imports them all at once. Brand new before this, you could only drop individual files. Fixed raw camera image decoding RAW

... Been thinking about this after a few good conversations here lately: there's a real tension between building something that flags "this looks off" for you automatically, versus just surfacing the raw

... median points needed to break the top 5 and top 10 on each day. Check the full report here: https://app.databox.com/shared/a... The short version: Saturday is the easiest day. Only 266 median points to crack top 5, vs 360 on Wednesday. That's a 35% harder climb on the worst day vs

... lead a participant, rather than uncover them. They asked about cultural calibration, whether emotion models trained largely on Western data can accurately read a participant in Jakarta or Nairobi. They asked whether the say/feel mismatch gets surfaced as raw evidence or quietly resolved into a single confidence score. These are serious questions. And they made me realize something: the bar for trust in AI-moderated research is fundamentally different from other AI tools. If a writing assistant gets something wrong ... ... actually take for you to trust the findings from an AI-moderated interview the same way you'd trust a carefully run human-moderated session? Is it full transparency into how emotional signals are weighted? The ability to see raw

... Since launching ExploreYC, the #1 request in my inbox has been some version of: "This is great, but can I get the underlying data?" Founders wanted it for competitor research. Investors wanted it for sourcing. Job-seekers wanted to filter every company that's hiring. Data nerds just wanted to play. So today we're launching the YC Companies Database What it is: A single searchable, sortable table of every Y Combinator company with the columns that actually matter: Batch ... ... hiring status Total funding raised Employee count + 6-month growth Top-company flag, nonprofit flag, website Check it here: https://www.exploreyc.com/database Comment from Konstantin Borimechkov(@konstantimb): Comment from Prashant Patil(@prashant_patil14): This is a really useful addition. Raw

... paid ads. But I have been building automations with Claude Code. You describe what you want in plain English. It writes the code. Here is what I actually use it for. 1. Full account audits in minutes. Feed it raw data. Get a client-ready brief back. 2. Automated weekly client reports. Pulls data, builds tables, emails it I do not touch a thing. 3. Budget pacing and overspend forecasting. Projects end-of-month delivery. Flags blown budgets early ... ... sets cannibalizing each other. 7. Search term mining and negative keyword lists. Finds the negatives I should have added last month. 8. Landing page and tracking QA. Checks every URL and pixel fire in the account. 9. Competitor

... More cache hits (prefix stabilization) Metric Before After Daily input tokens 990K 268K Cache hit rate 12% 48% Effective input cost/day $2.90 $0.62 Output cost/day (unchanged) $7.50 $7.50 Daily total $10.40 $8.12 Wait, that is only $68/month savings on raw math. Where does the $200 come from? The bigger savings: I stay in sessions longer without hitting compaction. Before compression, long sessions hit compaction at 35 turns, forcing context loss and repeated work. Now sessions last 55+ turns productively. Fewer ... ... file reads, fewer redundant tool calls, fewer wasted output tokens on re-doing work. Does Quality Actually Stay the Same? I was skeptical too. Here is what I measured over 4 weeks: Code that compiles first try: 78% (before) vs

... index that grounds AI answers rather than the model's frozen training weights . A domain's Authority Score correlated with AI mentions at Pearson 0.65, according to a Semrush study of 1,000 domains tracked across five AI surfaces . Raw backlink volume correlated far more weakly. Two insights from the data: Backlinks are a gate, not a dial. The relationship between authority and AI visibility is threshold-shaped. Low-authority domains collect a handful of AI mentions; top-tier domains ... ... collect dozens. Below a certain threshold, volume link building is mostly wasted budget . Brand mentions now rival raw

... team at ShardLabWorks just cracked the most notorious, unforgiving problem in the AI animation space.If you ve ever tried budget or AI motion capture, you know exactly what I m talking about: The "Skating." You import the raw data into your 3D software, and your character looks like they are sliding on ice. Their knees shiver, their ankles roll unnaturally, and the sheer amount of manual cleanup required makes the data virtually useless. Most tech companies accept this ... ... cost of doing AI tracking. They dump the raw

... worth ad dollars at a tiny budget, and which are a money pit? I'm doing daily build-in-public content on TikTok, YouTube Shorts, and X, but I honestly can't tell yet what's driving downloads versus just views. If you've cracked early distribution for a consumer app, I'm all ears. Product Hunt Launch: https://www.producthunt.com/prod... Comment from Sajid Javid(@sajid_javid): @nolan_vu  Thanks, Nolan. That's a really helpful perspective. I originally ... ... Hive too, we help teams build automation flows for their workflows: https://www.producthunt.com/prod... Comment from Nolan Vu(@nolan_vu): @abhayraghuwanshi  Thanks for breaking this down, man, it's genuinely helpful to see the raw

... probably saw the VS Code 1.117 story: "Co-authored-by: Copilot" silently added to commits by default, including for code that Copilot never wrote. Microsoft reverted it in 1.119. Good. But the revert is the wrong ending to the right story. The developer anger was about consent and accuracy both valid. What did not get picked up in the discourse was the architectural question underneath: even when Copilot does write code, a git trailer tells you almost nothing useful ... ... audit trail. I have been building LineageLens to capture provenance at insertion time before the diff ever hits git. Each insertion generates a structured record with roughly 40 fields: four timestamps, the full prompt body, the raw

... both content and   product work.   2. Google Search Console I basically live in it. For anything SEO, it's the only honest source of truth   about what's actually happening vs. what I assume is happening.   3. Ahrefs keyword and competitor

... folders and dependencies. Axiom engines are welded into ultra-optimized, single-file architectures that execute at lightspeed directly in the browser. Rust-Inspired Efficiency: Our core development logic is driven by the principles of safety, extreme memory optimization, and raw speed. We design layout and logic to be synchronous, robust, and unbreakable. Independent Ecosystems: We build technology that doesn't hold you hostage. Our products are designed to run anywhere natively, free from platform locks, heavy infrastructure, or hidden subscription ... ... traps. Guerrilla Execution: Speed and efficiency define us. While massive dev teams spend weeks debating configurations and bureaucracy, Axiom ships solid, production-ready systems in a fraction of the time. Axiom Systems is here to prove that raw

... actual insight, and it's bigger than it looks: making the notification say why it's waiting is what turns a ping into a triage. "Done" makes you tab back to find out what "done" means. "Needs approval vs finished vs

... passion never really left me. Over the past few months, working in my spare time inside an old cold storage room that I converted into a tiny office, I managed to build Luminens . Luminens is a 16-bit browser RAW photo editor powered by WebGPU, WebGL, and libraw-wasm (packaged as a desktop app via Tauri). I built about 100% of it using AI-assisted development (Lovable, Vscode, Trae, ecc...), tying the final custom performance pieces together myself. To test ... ... engine, I recently opened a heavy 200MB Hasselblad RAW

... Give Claude or GPT a week of sleep and HRV data and you get "Your average HRV was 45ms, slightly lower than last week's 48ms." Cool, I can read a spreadsheet too. The problem: raw LLMs don't reason about health. They don't get that declining HRV + poor sleep + high strain for 3 days straight is a pattern that means something. So we built the Health AI Engine as an MCP server. Any LLM plugs in and gets ...

... Product Hunt community, I just launched Data Visualization Kit - a data visualization kit for Codex that helps you turn raw CSV/API data into a local interactive dashboard. A few things I focused on: Go from raw