
v0.7.0
LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
Stay updated with the latest developments in Artificial Intelligence

LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
AI reply tools promise leads from Reddit on autopilot. Here is what happened to the brands that tried it, what Reddit's enforcement looks like in 2026, and how teams like Render and Tally actually turn conversations into customers.
We compared the MCP servers that give Claude, ChatGPT, and Cursor access to brand mentions, social data, and marketing tools — real auth models, real pricing, honest trade-offs.
Brandwatch pricing explained with real numbers: a $50,000/year median contract from Vendr data, a public rate card from £10,800/year, and the query-based pricing model that drives your quote.
What media monitoring is, what it covers, what it actually costs (real contract numbers), and how to set it up — a practical guide with quotes from practitioners.
We compared 15 AI sentiment analysis tools across social listening, customer feedback, call centers, APIs, and open source — real prices, real user quotes, honest trade-offs.
Sprout Social pricing explained: $199–$399/seat annual vs $249–$499 monthly, the unpublished Listening add-on, and real contract data (median $18,960/yr).
An honest Brand24 review based on a hands-on run of the free trial: real source coverage numbers, noise filtering, verified 2026 pricing, and who it actually fits.
What brand reputation monitoring is, how to measure reputation with real metrics, and how to catch problems early — including what AI assistants say about you.
Meltwater pricing explained with real numbers: $10k–$130k+ per year, actual contract data from 286 buyers, a public rate card, and the auto-renewal terms to check before signing.
We compared 23 competitor monitoring and AI competitor analysis tools — competitor intelligence, SEO, ads, pricing, website changes, and mentions — with real prices and honest trade-offs.
A tactical guide to getting your SaaS recommended by ChatGPT, Perplexity, and Gemini: find your money prompts, build pages LLMs cite, and earn mentions where the models actually look.
How Render uses Octolens to filter social noise, respond to 4x more developers, and turn live conversations into growth signals for people and AI agents.
Our most valuable customers almost never open Octolens. Here's why we rebuilt social listening as a data layer — API, webhooks, and MCP on every plan.
Compare social media monitoring tools for real-time alerts, better noise filtering, and free and paid options — with verified pricing for 2026.
We compared 21 social listening tools side by side — G2 ratings, real pricing, platform coverage, and what actual users say about each one.
Turn positive mentions from Reddit, X, LinkedIn and Hacker News into a wall of love on your homepage using Octolens and MCP — includes a copy-paste prompt.
LinkedIn isn't the only place your buyers talk. Learn how GTM teams track social signals across Reddit, Hacker News, Twitter, podcasts, and more to find buying intent before competitors do.
A step-by-step tutorial for automatically turning product mentions from Reddit, X, LinkedIn, Hacker News and more into Linear issues using Octolens, Linear, and MCP — includes a copy-paste prompt.
Showing 18 of 30 stories
Load more storiesGet the top AI news and tools straight to your inbox every week.
Weekly · AI news from Octolens Blog
Join 15,000+ AI enthusiasts