... Bots : cloud agents that can handle coding tasks, research, browser work, and basically any routine you want to automate. The idea is pretty simple: your agents run in the cloud, have access to tools like browsers, coding environments, your connectors, and routines you can configure (or bots suggest it from your beahvior and you just have to accept) and they gradually learn how you like to work. You can also control them directly from Slack or Telegram . Native integrations inside ...

... Manus? Yes and this is the honest version, not the sales version. Happycapy is a general AI agent, same species as Manus: it runs long tasks in a cloud sandbox, keeps context in Projects, reaches into your apps through Connectors, and runs recurring work on a schedule. If your Manus routine was "research, documents, automations, connected tools," Happycapy covers it. And there are three rooms in this house Manus never had: a connector

... Keep seeing the same playbook this week: expose your product as an MCP server, add OAuth so it connects in one click, submit to the connector directory. The claimed numbers are always impressive. The latest one: 109 visitors, 41 signups, 13 paid trials in a weekend, $0 spent. I haven't tried it, so I can't tell how much is real and how much is the usual launch-week spike that dies by Wednesday. It doesn't feel crazy ... ... though. More of my clients' traffic is coming through AI tools every month, so distribution inside them has to start working at some point. Anyone here actually listed their product as a connector

... adapter maps these deliberately. It also rewrites Paseo-style MCP HTTP declarations into the SSE and header shape expected by the official kernel. 3. Durable, account-wide Admission A controller may delegate several agents at once. If every connector writes session/prompt concurrently, provider-facing startup pressure becomes difficult to reason about. Admission is a shared SQLite-backed queue across connector

... lives in exactly one place, a chat box. Wherever it can't reach is wherever it can't help. So the problem was never intelligence. It's that your AI has nowhere to work. That's the gap Happycapy Connectors close: a connector

... match how the underlying API actually behaves, so the agent confidently calls something that returns garbage, and you don't find out until you're debugging why a real user got a wrong answer. Ended up hand-building the connectors that really matter (the ones where getting the semantics wrong costs someone money) and using MCP purely for the long tail where "mostly works" is good enough. Anyone else gone deep on MCP servers? Curious if others found the same ... ... just hit unlucky servers. Comment from Hao Lin(@haolin): I think using MCP for the long tail is probably where is shines today. For payment, billing, or other high consequence workflows, I d still want tightly controlled connectors

... Every team building agents rebuilds the same plumbing: a tool layer, a RAG pipeline, connectors to their data, and some orchestration glue to chain prompts together. It's weeks of undifferentiated work before you ship anything a user sees. We are building to be that layer, managed: Tools give your agent capabilities without writing the harness RAG attach a knowledge base, retrieval handled Connectors

... setup, no terminal, no laptop babysitting. Native memory - agents run on your knowledge and context, so no re-explaining every time. Dynamic skills - reusable playbooks powered by your knowledge, not static files. Update the Topic, the skill updates itself. Connectors with encrypted secrets - your agents plug into your tools securely. Real collaboration - your whole team and your AI work from the same brain. Think of it as Claude Code power but collaborative, hosted, and usable by your entire team , right ...

... plans are divided into 3 tiers: Better browser : free, no AI features, cross-device sync Better answers : $20/month, with access to basic Dia AI features: better browser connectors ask on page tab context Better day: $100/month, with access to advanced Dia AI features: better browser + answers 6x more usage morning briefs reports/decks/recaps meeting follow-up These will start rolling out on August 17th for Mac users only with 30-day notice before currently-free AI features are removed. Comment from ... ... least it needs a lower paid cost of entry than ChatGPT, Claude, Gemini, Perplexity, and Copilot, between $8-12/month. what, again, was the point of being acquired by Atlassian if that s not funding free or below entrenched competitor

... your API usage). No gating basic features behind paywalls. free gets unlimited chat, smart context management, verified skills, Telegram, Slack. Same features as paid, just with usage limits. "What's actually different on paid then?" More tasks (unlimited vs 500). Longer memory (permanent vs

... been building AIOProductOS for the past few months. It keeps revenue, feedback, roadmap and outcomes on one customer record instead of scattered across five tools. It just got approved as a connector in @Claude by Anthropic 's directory, which felt like a good moment to actually talk about it here. Here's the part I care about. Every tool has an MCP now. Jira has one and it sees tickets. Amplitude has one and it sees events. Stripe ...

... current project is pg-cdc , an open-source PostgreSQL Change Data Capture platform that continuously publishes changes to modern data lake formats like Parquet and Apache Iceberg. The motivation came from seeing teams spend weeks wiring together Debezium, Kafka, connectors, and custom pipelines when many simply want reliable, governed data flowing into their analytics or AI stack. More broadly, I m fascinated by how AI agents will consume operational data. I believe the next generation of software won t just ...

... Spaces work properly in note titles again - Checklist Enter and checkbox toggle behave correctly Everything stays local-first in your browser no account required. Try it and tell us what you want next (rich text on stickies, board rename, connectors ?). Browser Notes team Comment from Ghost Kitty(@ghost-kitty-9871002): Comment Deleted Comment from Iris Carr(@iris_carr): I like that these updates focus on everyday usability instead of just adding flashy features. Small workflow improvements usually make the biggest ...

... network that can introduce you to a given investor: https://screen.studio/share/BT55... 2B: Pipeline Level Relationship Paths Metal surfaces who within your network can introduce you to multiple investors. It may make sense to hold calls with these super connectors to get them excited about your Company: https://screen.studio/share/UlLi... Lesson #3 For a successful round, the narrative you start with is very often different from the one with which you close. Learning during the raise process becomes crucial ...

... when editing it. Added hover tooltips, a crosshair, and clearer legend and segment interactions to the AI usage charts in billing settings. Fixed vertical bars overlapping on time-series charts with sparse, clustered dates. Fixed setup for Fivetran file connectors like Google Drive so Magic Folder connectors

... Zaitzow(@dzaitzow): @anna_ludwinowski I guess if I really think about it - it helps solve the 1 to many problem for lead capture - making every lead get something really unique at the end of the intake survey / quiz funnel VS being bucketed in a segment that MAY apply to them and their specific circumstance. Here is the product and we're live today if anyone feels like poking around! @stacywycof83995 @oshylabs @thenameisarian @virko_kask if you feel like checking ... ... that's a very important distinction. That could also explain why you're attracting more men, who are looking for a real solution vs

... BigQuery, ClickHouse, Snowflake Free dedicated worker, no credit card https://apitap.dev/ Pre-launch, so brutal feedback > polite encouragement: 1. Is "managed + lightweight + click-only" a real wedge, or am I solving for yesterday's problem? 2. Which source connector should I prioritize next? 3. What's the one thing that would make you NOT trust this for production data? Solo founder, building in public. Thanks for checking ...

... loosening anything: Basedash only ever resolves dropdowns for the in-scope, visible variables on the dashboard or chart you re viewing, and hidden, cross-dashboard, and cross-organization queries stay locked down. Fixes and improvements Restored file-based Fivetran connectors (like S3 and SFTP) so they create and sync correctly again. Fixed chart images in insight emails and Slack so they render with the correct row-level-security context instead of showing the wrong data. Made Connection issues sidebar rows ...

... Over the past few months, I've been really impressed with Claude for stock research. However, I often found myself still juggling different tools to pull certain things (price charts, live information, etc.). So I made a connector for Claude that let's you pull in real-time information--charts, financials, earnings, institutional ownership, etc.--into a consolidated report. I've found it helpful and just wanted to share--totally free to use: Customize > connectors

... After talking to agency owners and PPC consultants, I kept hearing the same thing: "Reporting takes hours every month, connectors break silently, and clients expect polished reports on time." So I'm building Fluxvex an automated client reporting platform for digital marketing agencies. Connect Google Ads, Meta Ads & GA4 Generate white-label reports automatically Schedule report delivery to clients Get alerted before broken reports are sent Setup in minutes, not hours No bloated dashboards. No enterprise pricing. Just reliable ...

... grew Y because of Z, here is what we are doing next" is the headline. OKRs tie strategy to metrics Objectives are aspirational. Key results are measurable, time-bounded, and have an owner. The parts people get wrong: Leading vs lagging. Revenue is lagging. By the time it moves, the decisions that moved it are months old. Pick KRs you can actually move weekly. Qualified pipeline created. Activation rate. Trial-to-paid conversion. Not "annualized revenue." Track where people already ... ... hire. Hundreds of pre-built templates across 30 business categories. Sales pipeline, churn cohorts, marketing channel performance, financial close, and so on. Start from a working dashboard, not a blank canvas. Multi-source integration: Databases, Excel/CSV/PDF (with OCR), OAuth connectors

... have actually diverged in outcome in the ledger so far and if it's inferred, what's your cold-start before a single divergence has been observed? Comment from Alexander Bering(@alexanderbering): @aadilghani  The reason "edit vs. tell-it-to-revise vs

... less. We do that by pairing every task with the right context and model for the job - open or closed. That means you get the same output quality as Opus 4.7, but 5x the tokens for the same spend versus Anthropic or OpenAI API rates across: Chat - grounded in your company's real context and a persistent knowledge graph Build - docs, decks, pdfs, real-time dashboards, apps or any artifact and share across your org Code - any arbitrary task ... ... with long-running agents and complex triggers Meet - meeting summaries, transcripts, and follow-up actions via a meeting notetaker or ambient transcription Enterprise-ready - all models hosted in the US, SOC 2, pen-tested, 30+ enterprise connectors

... pushes. You also get a VSCode-style Find in Files and a Cmd+K command palette. Sub-agents you can actually read When an agent spawns helpers over MCP, they now nest under whoever started them with proper tree connectors. Multi-agent runs stopped being a flat soup of names. A few more things - Grok CLI is a first-class agent now, next to Claude, Codex, and Gemini. - One-click Resume for stopped Claude sessions (`claude --resume`), so it picks ...

... body. Normalising this took us nearly a year. Still the most thankless work we do. 2. Sandboxes lie Test environments accept edge cases production silently rejects: wrong currency combos, certain BIN ranges, specific 3DS flows. We harden every connector against real production traffic before calling it stable. 3. API inconsistency is intentional We used to assume different schemas were just different teams making different choices. They're not. Switching costs are a feature, not a bug. The abstraction problem exists ... ... because it's profitable. 4. Statelessness is non-negotiable The instinct is to cache credentials, transaction state, configs. Feels like optimisation. It's a liability. Stored PII compounds risk nonlinearly. We rebuilt the connector