... GEOScore, we've noticed a lot of discussion lately about how difficult it s becoming to decode why certain pages dominate search results while others, which seem just as good, get buried.   We built the Competitors feature in GEOScore specifically to take the guesswork out of that process, changing how you approach competitor

... farther away from the database? To find out, we measured p95 read latency across increasing distances, then repeated the same test with read replication enabled. Turns out serving reads close to users reduced latency by up to 99% . Full benchmark write-up here: https://bunny.net/blog/how-datab... How are you handling database latency for far-away users in your apps ...

... that the user is confident that progress is being made. More here https://blog.tonkotsu.ai/p/the-t... I'm curious what you are seeing play out in your experience, as either users or builders of agents? What products feel too close vs too far vs

... Cryptographic Algorithms** - **ML-KEM-768 (Kyber-768)** Lattice-based Key Encapsulation Mechanism (KEM), relying on the hardness of the Module Learning With Errors (MLWE) problem. **Key sizes**: public key 1184 bytes, ciphertext 1088 bytes, shared secret 32 bytes. **Performance** (benchmarks from optimized implementations on modern hardware, including mobile-relevant ARM/x86 tests): - Key generation: ~20 75 s (often ~22 32 s on recent mobile-grade ARM like M1/M2 or high-end Cortex). - Encapsulation: ~12 61 s (optimized ~25 36 s). - Decapsulation ... ... scale to sub-millisecond ranges in optimized libs). - **ML-DSA-65 (Dilithium-3)** Lattice-based digital signature scheme, also based on MLWE hardness. Provides authentication and message integrity. **Sizes**: public key ~1952 bytes, signature ~3309 bytes (moderate overhead). **Performance** (benchmarks

... Product Hunt community! Just launched Infinidatum today - a free collection of 20+ AI decision tools built from analyzing $500M+ in real-world AI deployments. What we built: AI ROI Calculator with Fortune 100 benchmarks (2.56x to 17x ROI) AI Strategy Guide & Execution Plan AI Governance Checklist for regulated industries AI Readiness Assessment Build vs

... form Run in one click The problem with backtesting: - Too many tickers (296 on our platform) - Too many time periods - Analysis paralysis before you even start Now you just... ask. Real examples that work: "I want to test tech vs energy during 2022" AI recommends: AAPL, GOOGL, XOM, CVX Sets benchmark

... Different AI models excel at different tasks. This isn't just theory, it's backed by real-world benchmarks: leads in coding (80.9% on SWE-bench

... production-ready and already integrated with our hosted API, so you can transition from pip install to real workloads quickly. To make experimentation frictionless, the first API key comes with 5 million free tokens to test, benchmark, and build without limits. Get started on our website. We d love feedback from builders using it in: Agentic flows and tool-calling setups Long-context reasoning or planning tasks High-throughput async workloads Anything that breaks in production before it breaks ... ... benchmark

... Alpie Core is a 32B reasoning model trained and served at 4-bit precision, offering 65K context, OpenAI-compatible APIs, and high-throughput, low-latency inference. If you were evaluating or using a model like this: What would you benchmark first? What workloads matter most to you? What comparisons would you want to see? We are actively collecting feedback to shape v2 and are happy to share more details. Comment from Chirag Arya(@chirag_a2207): Curious whether builders care more ... ... about reasoning benchmarks

... traditional channels, we deliver better ROI than paid search, which has become increasingly expensive and competitive. Trial Intelligence : We provide behavioral analytics you can't get from your own trial - comparative shopping patterns, feature prioritization across your category, and benchmarking against competitors

... competing, they were filling a verified gap. Phase 2: Viewer Psychology Mapping Critical Success Factors: Use Channel Insights to decode your specific audience's emotional triggers and content preferences Map viewer journey patterns showing what keeps people watching versus bouncing Identify psychographic patterns unique to your community, not generic demographics The Channel Insights component addresses what researchers call the "relevance gap", the difference between what creators think resonates and what actually drives engagement. Creators who understand viewer psychology ... ... trending topics receive 8.7x more organic reach than late entrants. But timing alone won't work, the content must align with your audience's psychological profile. Measuring Success: The Metrics That Matter Based on Tubular Labs' performance benchmarking

... Magnum Opus Anthropic updated its AI model to Opus 4.5 . The company says the latest Opus has improved problem-solving, can do wonders with spreadsheets, and scores over 80% on the SWE-Bench coding benchmark

... Real-time updates on app downloads and revenue Real-time ranking and position changes across all app categories In-depth analysis of top market apps with similar app recommendations Advanced Search Multi-tag and multi-dimensional filtering to identify benchmarkcompetitors Discover emerging niche markets and uncover growth & investment opportunities

... officially benchmarked Dropstone against the AGCI Benchmark

... Tokens input range, the model is priced at approximately 1.20 RMB/million input Tokens and 8.00 RMB/million output Tokens . Real-World Example: Tests suggest generating a playable "Minecraft" replica demo cost less than 0.2 RMB using this model. Performance Benchmark: In major programming evaluation sets, Doubao-Seed-Code s overall performance is reported to be only second to the current top model, Claude Sonnet 4.5 , outperforming several other prominent domestic models. Massive Context: It features a native 256K context window , which ... ... active error planning and self-correction during development. Let's Discuss: What Does This Mean for the Community? The competition in AI coding is heating up, with models increasingly focusing on the balance between power and budget . A new competitor

... Ever wanted to peek behind your competitors ad strategies? Now you can with full transparency. I just launched a free n8n workflow that pulls ad creatives straight from Google s Ads Transparency Center, powered by SerpApi. n8n Template link This workflow does the boring stuff for you: Fetches ads by domain (like nike.com or apple.com ) Filters by region Categorizes creatives into text, image, and video Exports clean CSVs for instant analysis All you need to do is hit Test workflow ... ... google_ads_transparency_center engine Filters exact domain matches only (no messy results) Splits by ad format Exports everything neatly to /files/ as CSVs You ll get: text_{domain}_ads.csv image_{domain}_ads.csv video_{domain}_ads.csv Example use cases: Benchmark

... everyone, We ve been working on a new forecasting package that we believe pushes the boundaries of current state-of-the-art tools. After extensive benchmarks, it consistently outperformed many leaders not just in accuracy (lower MAPE and sMAPE across diverse datasets), but also in training efficiency. What makes it different? Scalability: Handles large datasets with ease. Accuracy: Outperforms popular baselines on real-world benchmarks

... Product Hunt I m building LitmusB.com , a tool that helps product teams stay ahead by: Benchmarking your product s UX against competitors

... learns your company s data, so you don t have to re-upload or explain. Data Blending: With most tools, you can t easily combine public knowledge with your internal data. With Finden, it s seamless bring in news, benchmarks, or market data alongside your own files in one conversation. Business Focus: Others are general-purpose. Finden is built for businesses who need fast, accurate answers grounded in their data. Speed: The difference is staggering. 13 minutes vs

... engines talk about your brand, then turns those mentions into usable intelligence: who said what, where, with what tone, and how that changes over time. It monitors platforms like ChatGPT, Claude, Gemini, and Perplexity, runs custom prompts at scale, benchmarkscompetitors, and alerts you when something moves so you can respond fast. In short, Thirdeye shows you the story AI is telling about your brand and helps you steer it. AI assistants and answer engines are fast becoming the front ... ... Nadella frames Copilot and agents as a new platform era. Sam Altman expects AI agents to join the workforce and change company output. Thirdeye is built for this agent era. Thirdeye Features: Brand Mentions Sentiment Analysis AEO/GEO recommendation engine

... www.youtube.com/watch?v=n3jFHfIvyf8 Warp Code just launched . With it, you get: Top-rated coding agent: #1 on Terminal-bench (52%) and top three on SWE-bench

... those of you who want your own WALL-E or Baymax, but AGI isn't here yet. Here is everything you need to know, from the model lineup and ChatGPT s six headline upgrades to vibe coding magic, benchmark records, and more. The models you get As has become the trend in AI model launches, GPT-5 is no single monolith. OpenAI offers five distinct engines for users and developers, so you pay only for the power and latency ... ... minutes. This is getting the bulk of attention online , with vibe-coders spinning up apps like it's child's play. I even saw one person spin up a 3D game faster than I could hit the like button. Benchmarks

... clearly define your target audience: Who are they? What's their knowledge level? What market are they in? What kind of content do they usually consume? What content actually works for them? This is essentially user profiling combined with competitor analysis. Back when we were creating educational content, we'd put a ton of effort into user interviews, benchmarking

... Awesome progress ! Today, Warp is the #1 overall coding agent on benchmarks like Terminal-Bench

... into AI and no-code tools to build solutions that solve real pain points facing small and medium businesses I m currently working on a tool that helps businesses improve their website, ad, and social media copy based on competitorbenchmarks and best practices. It s still early days, but I m excited to learn from the community, share my journey, and get feedback along the way. Let s start with an interesting question What s the biggest challenge ...