... structural. Models are strong where the problem is self-contained (the logic lives in the code they can see) and weak where correctness depends on external systems they can't inspect, an API's actual behavior, an SDK's quirks, auth flows that depend on someone else's server. The integration is where the model has to reason about a world outside the file, and that's the part it can't pattern-match its way through ... ... Telegram for immediate notification and Discord to cross-communicate: I'm (or my users) creating records about ideas to implement or discuss, Claude read it, update to-to records, we discuss, then Claude write comments to necessary topics

... required months of setup. So I built Mugib. What it actually is: Mugib lets you deploy an AI agent that handles your customer conversations across every channel simultaneously WhatsApp, Instagram, Telegram, Facebook Messenger, web widget, Slack, MS Teams, mobile SDK, REST API, and real phone calls. One agent, unified brain, everywhere at once. The agent goes live in under 10 minutes. Upload your docs, connect your systems, and it starts answering real customers. What makes it different: Most platforms stop ... ... across channels. Switch from WhatsApp to a phone call, the agent remembers everything. - Multi-LLM failover if one model goes down, traffic shifts automatically. Zero downtime. - Safety guardrails responses scoped strictly to your data. No hallucinations, no going off-topic

... Road to 1,000,000 #Votap users Day 61 | Current: 1295 I dream about tokens?? Push notifications in Votap have been pretty simple so far. If you follow a politician or based on your country we send topic-based notifications (basically broadcast to a group). Easy. But now I m building notifications for comment replies Which means: they have to be user-specific. And suddenly everything gets interesting. Tokens: rotate all the time are tied to a device ... ... well I am glad I am not alone. One question since you already went through this: the docs say that it is good practice to also unsubscribe inactive tokens using the Admin SDK

... handles millions of requests without throttling. JSON output Ready to consume for ML pipelines, BI tools, or simple API calls. Cost effective Pay as you go pricing keeps your burn rate low while you validate ideas fast. Open source SDK Extend or customize the scraper with JavaScript/Node.js in seconds. How it works Select a TikTok region (US, EU, Asia, etc.) Set a schedule every 5 min, hourly, or on demand. Run the actor Apify crawls TikTok s discover page, extracts ... ... clean JSON feed it directly into your recommendation engine, trend monitoring dashboard, or ad targeting model. Real world use cases Trend driven content recommendation for media apps. Competitive intelligence for brands tracking hashtag performance. Data driven marketing identify emerging topics

... heavy users. The live product is at lucidextractor.liceron.in if you want to see it. Happy to do a quick call to walk through the architecture for your research! Comment from Chris Conlee(@conleec): This is a great research topic, Ryan. As a solo founder launching PictaBase today, I can tell you that for a "pro-sumer" tool, the stack isn't just about what's easy it's about what's provable and sustainable . I built PictaBase ... ... from Ryan Hendrickson(@ryan_hendrickson): @pashupathi  Nice, so the idea is that companies could have just one account through your service, which would allow them access to all of the models from various providers? Simplifies billing and the SDK

... just shipped 5 features for AI engineers: 1. Smart Variables Create templates with {{variable}} syntax. Click to edit, save as presets. Example: Write a {{tone|professional,casual}} email about {{topic}}. Copy Click {{topic

... memory layer for AI agents , focused on storing and retrieving user interactions so assistants can remember preferences and context over time. Supermemory pitches a scalable plug-and-play memory infrastructure and a Memory OS for AI apps, with APIs, SDKs and a Memory Router to attach persistent memory to any stack. I love that this space exists. But I also kept noticing a missing piece in my own projects: Most memory solutions are great at storing facts and messages. What ... ... Captures It receives conversations between your users and your AI via an OpenAI-compatible chat completions API. 2. Extracts It uses LLM analysis to extract structured traits (like expertise level, tone preference, interests) and important memories (events, milestones, recurring topics

... agent will go off topic, access apps or generally do things they shouldn't. Even worse for regulated industries, you need to produce evidence of how you comply with different laws. Humans leave a natural audit trail of SOPs they follow, tasks they complete etc. so you can easily work with an auditor but what do you do when it's AI doing the work? At Portia AI , we built an open source SDK

... this week, my tagline is: Make memes fast with the most powerful MemeTech anywhere Thanks for feedback! Jaz PS I also DMed you on X for tips Comment from Chris Wood(@cpwood): Notably News -- "Email updates about your favorite topics... rarely!" I have struggled with this -- as always! -- so thank you in advance. Comment from Niklaz L nnqvist(@niklazlonnqvist): VCU - The Co-Browsing Network. See and chat with all users visiting the same website. Interesting, works? Thanks /N Comment from David ... ... months Our description : Ship AI that works, not AI that feels right . Craft high-quality prompts with our AI-powered Copilot. Test & Evaluate LLM outputs with structured grading and real-world data. Deploy AI features confidently with our SDK

... quick, context-aware responses , so you don t have to start from scratch. Try it out: http://draftai.io/ Comment from Evgen Mykhailenko(@mykhailen): nola.sh - Typescript superset for native LLM interactions: building a context, data extraction, function calling. No AI SDK, no Zod schemas etc. Just plain typescript. Comment from Febbin Chacko(@febbin_chacko1): HungrX ( https://hungrx.com ) Making intuitive eating effortless! We pull menus from nearby restaurants and display nutrition & calorie insights so you have the freedom to choose what ... ... into one path that can personalize what comes next. I m currently recruiting 10 genuine learners for a structured seven-day product-research cohort. Selected participants use it for 10+ minutes/day on a real class, exam, certification, or independent topic

... which is most PH searches). Categories will help us improve search and browsing, as well as eventually a lot of other downstream features. Ex. Zoom *is* video conferencing software, not "tech, productivity, video, SDK, meetings" Categories are what your product is or what problem it solves. Topics

... Some people think that NFTs are not that popular anymore. NFTs were the hottest things in the market in 2021 ...