... content strategy is the systematic use of machine learning and data to plan, distribute, and optimize content. It moves away from "gut-feeling" marketing toward predictive intelligence. Audience Intelligence: AI tools analyze trillions of data

... other users. Threads grow over time through comments, edits, and votes. Content is served dynamically from databases. This approach has some strengths. It encourages participation, allows multiple viewpoints, and can surface niche expertise. However, it also introduces several systemic problems that become more severe at scale. Answers can become outdated as technology, facts, or best practices change. Threads often drift off-topic

... such as artificial intelligence, and how little interest there is in your privacy, your data, and your identity. You chase the latest trend without giving a second thought to what happens to you, to the data

... read the code all day. Understanding why it looks the way it does is completely different and usually consumes the most time and effort. Comment from Marces William(@marces_wiliam): I think that by now both with complex topics and with topics

... Indeed.com, along Alyssa - our CTO with 20+ years of engineering experience and a stint at Indeed.com, Amanda - our CMO with 20+ years of marketing, front-end development, and UI/UX design experience and a stint at Indeed.com, Charlie - our data guru who spent 20+ years as a Google engineer, and Kelsey - who built one of the worlds' first preference-based algorithm architecture that drove a website to be one of the highest-traffic web properties on the globe - are building enterN ... ... community-driven platform with the aim of mapping all publicly available restrooms across the globe and then using that data

... identified the critical factors separating success from stagnation. It's not about posting more or better production quality, it's understanding your audience at a psychological level. The TubeBuddy Audience Intelligence Method This framework emerged from analyzing billions of data points monthly across YouTube's ecosystem and has been refined through helping creators achieve everything from first monetization to millions of views. Stanford's Persuasive Technology Lab research confirms that psychographic targeting beats demographic targeting by 340% in engagement rates ... ... find opportunity zones Cross-reference demand signals with supply quality to spot low-competition topics

... common questions in every coding community: Which programming language should I start with? The honest answer: it depends on your goals. Let s break it down Python Best for beginners Easy to read, simple syntax, and used in AI, data science, automation, and web development. JavaScript Best for web development If you want to build websites, web apps, or work with frontend/backend, JavaScript is essential. Java Best for enterprise & Android development Strong foundation, widely used in big companies ... ... stand and what they should learn next . That s exactly why practicing with quizzes is one of the smartest ways to start. Quizzes help you: Test your basic concepts Identify your weak areas Build confidence before moving to advanced topics

... that Google strongest historical partner is Android. Yet Apple is choosing Google as AI partner. Feels less ideological and more pragmatic. Curious how others read this, happy to follow and engage with others who are interested in similar topics Comment from Matthew @ Sapling(@tinyorgtech): This will have to be a major hit to OpenAI. As a consumer brand, Apple would have been a great fit for OpenAI. Comment from Huseyin Gungor(@huseyingungor): I actually want to say it's better ... ... current leader (Gemini) while keeping on-device privacy is smart. Feels like a bridge to their own trillion-parameter models, but could evolve into deeper realignment if Gemini keeps outperforming. As someone in HK where privacy matters a ton (data

... threads where the OP asked a question but nobody really answered yet. Easy opportunities. Grab user data From those posts, it extracts active users with their karma, account age, and which other subs they hang out in. Super useful for understanding who your audience actually is. Analyze subreddits & users There's a deep-dive mode that shows posting frequency, popular topics

... kind "coherence engine" for busy, curious & data concerned individuals & businesses that: Remembers everything you tell it, web digs you ask it to do, docs you attach, remembering conversations and aggregating them into topics

... link and people vote with no download and no sign-up Online Gender Reveal Countdown + polls + optional comments Guests join by link, again no download needed Verified naming data (credible trends) We start with official U.S. Social Security Administration baby name records, so trends are based on real data

... Most investors don t lose time because research is hard, they lose time because it s fragmented. Earnings live in ...

... more like a structured, typed profile that evolves over time. So I pivoted GetProfile AI to become exactly that. From profiling API to LLM proxy with memory GetProfile originally started as an AI-powered profiling API: send it raw data (chat logs, onboarding forms, CRM records, game events) and it would return structured profile information and summaries you could plug into your existing tools. That was useful, but the more I talked to indie hackers and founders building agents ... ... made it open source. Now the flow looks like this: 1. Your app or agent sends a normal OpenAI-style request but to the GetProfile proxy. 2. GetProfile loads the user s profile and relevant memories from its database

... have been building products for past 15 years. My biggest learning is - You will always do better with Data. I am building OutlierKit which helps YouTube channel precisely with this - Data

... Data can solve 99% of problem! If you look at the right data

... that opinion s history. Users can fork or unfork existing opinions instead of simply liking or reacting. Each person gradually builds their Opinion DNA based on how they think across different topics. Topics

... minimum of 75 words, to filter out low-effort comments. Leave empty if you don t want to write one. Searching the database The main functionality of the site, is that you can search the database

... spend hours designing decks, only to end up with something our audience quickly tunes out With Oina, we re changing that. You type a topic (or upload a doc), choose your tone of voice, and our AI generates a full presentation with structure, visuals, and even interactive slides like polls and quizzes. Need fresh data

... Google Ai Studio Build for very quick ideas. We have shipped 100vibecoding.com to help users become better at vibecoding and learning to ship from zero. Comment from Mitchell McCain(@mitchellmccain): I use a plethora of tools to compile data and graphics, but my go to set is: ChatGPT for brainstorming process, concepts and copy Perplexity for RnD MidJourney/Higgsfield for content creation Replit for the build Comment from Jan Heimes(@jan_heimes): Currently @Needle Comment from Gokul Chandrasekaran(@gokuljd): @JDoodle.ai + @Claude ... ... vibe coding" tool Emergent , it should be able to handle complex workflows and webapps, so I'm trying that as well now. Seems like a good tool to try and build my SaaS idea in. For research on any topic

... Michael(@lattecino): I'm in the cafe discovery space. My plan is to test short videos across all the major platforms (LinkedIn, Reddit, YouTube, X, Instagram, TikTok) and run ads to see what actually converts. I'll let the data tell me which videos, headlines, and channels work best instead of guessing. It's going to be trial and error, but that's the only way to know where my audience actually hangs out versus where I think they should ... ... feeling Reddit keeps a close eye on duplicate posts, and it might look like spam even if the post is relevant. It probably depends on the specific subreddit and how the text is written or adapted to the topic

... Community! I m Adelina, co-founder and CEO at RoryPlans.dev , part builder, part dreamer, and fully obsessed with making AI agents faster, smarter, and more reliable We re building The Synthetic Data Generation Tool for Function Calling, built for teams to Collaboratively generate, review, and manage datasets

... delivered to price around users, features, or activity volume? If you switched models, what impact did it have on activation, churn, or predictability? What s working best for you right now? Comment from Laura Cruickshanks(@laura_cruickshanks): Love this topic! Following Comment from Sanskar Yadav(@sanskarix): I m leaning toward hybrid pricing lately. Base subscription plus usage credits feels like the right balance. It gives users control without surprise bills and makes it easier to price around real value. Still ... ... nika): I reckon that sooner or later, the pricing will be "per token" :) Comment from Aaron Calvo(@aaroncalvo): We ve experimented with both and usage-based pricing wins when the product s value is tied to automation or data

... questions or needs while keeping the learners focused on the topic. The results have blown our minds: - 5-8x faster content creation - Learner completion rates jumping from 20% to 87%. - 28% better learning outcomes (which rival human tutoring which is far more $$) - One client actually created 2,100 interactive videos in 6 weeks! Some of our clients including 2 of the top 5 consulting firms are gathering real data

... That question led us down the path of Rust, concurrency, and smarter orchestration. But I m curious What s the biggest invisible inefficiency you ve run into with AI systems? - Is it compute waste, model overcalls, messy retries, or data bloat? Let s compare notes. Because in the race to make AI powerful, efficiency might be the real innovation. Musa Comment from Ercan Throner(@ercan_throner): More server/database costs on your project indeed unlees you don't retouch and optimize ... ... peek under the hood here: github.com/InfinitiBit/graphbit Comment from Musa Molla(@musa_molla): @cerwindcharlie   @ilaiszp  Totally, Ilai. Running LLMs in production is a whole different game. Would love to read that article by Charlie, it s a topic

... with Elon?) That's sci-fi. :D Comment from Nika(@busmark_w_nika): @ashok_nayak  OK, so let's then keep it in secret :D Comment from Nika(@busmark_w_nika): @vsteppp  True, so we need more data from written books and the history to outperform Wikipedia, but that's sounds quite sci-fi :D Comment from Nika(@busmark_w_nika): @john_wern  Is Wikipedia really so negative? Like yeah, we had some "case" with moderators ... ... prevent anyone from editing. Comment from Felix Sattler(@felix_sattler): First of all: I don t think it EVER makes sense for a single person to control an information library that s meant to be used by everyone. How topics