Call center services in india

AI isn't killing SaaS – it's killing single-purpose SaaS 3 by JB_5000 | 0 comments on Hacker News. Over the last year I keep seeing “SaaS is dead” takes. I don’t think that’s what’s happening. What seems under pressure isn’t SaaS as a model. It’s narrow SaaS built around a single capability that AI can now reproduce cheaply. If your product is basically a thin wrapper over a model, or differentiated mainly by features rather than workflow integration, the moat feels weaker now. AI compresses build time dramatically. That means more competitors, faster cloning, and lower switching costs. But SaaS that is model-agnostic, deeply embedded into workflows, or acts as connective tissue between systems looks much more durable. Integration, distribution, and trust don’t commoditize as quickly as features do. It feels less like SaaS collapsing and more like a sorting event. Thin wrappers get squeezed. Infrastructure layers and integrators get stronger. Curious if others building right...

Looking 4 open-source knowledge base and project management tool 4 personal use 3 by TheAlgorist | 0 comments on Hacker News. Apologies for odd title, character limits. I manage my tasks with Taskwarrior and it's been incredibly productive for me. What it does, it does very well. But there's a lot it doesn't do, and that's the problem I'm facing. I've realized I need proper project documentation and management features, but I don't want to replace Taskwarrior. Instead, I'm looking to *complement* it with some type of knowledge base that also has project management features (or vice versa). My ultimate goal is to integrate these systems together via automations. In short, Taskwarrior is lacking when it comes to project documentation. *My criteria:* - Must be open-source - MUST work in the browser (so no mention of Obsidian) - Has basic project management features (interpret as you will) - Rich wiki-like document interface (bidirectional links, nice edi...

Ask HN: What is up with all the glitchy and off-topic comments? 3 by marginalia_nu | 1 comments on Hacker News. I've noticed a fairly sharp increase in junk comments lately. Often new accounts, making posts that are very low quality or sometimes completely incoherent. I see glitch comments like this on a fairly regular basis: > 13 60 well and t6ctctfuvuh7hguhuig8h88gd to f6gug7h8j8h6fzbuvubt GB I be cugttc fav uhz cb ibub8vgxgvzdrc to bubuvtxfh tf d xxx h z j gj uxomoxtububonjbk P.l.kvh cb hug tf 6 go k7gtcv8j9j7gimpiiuh7i 8ubg https://ift.tt/wF6y7b5 or this: > 1662476506 https://ift.tt/vTa4bxF or this: > Аё https://ift.tt/A4Za8ER Sometimes it's coherent, but completely off topic, like this > when is fivetran coming? https://ift.tt/rzPsbte Is clawd running amok, or is someone running botnet C&C via https://ift.tt/UMfnR6z or what gives?

Ask HN: Are developers who build libs and dev tools safer from AI replacement? 2 by danver0 | 2 comments on Hacker News. I’ve been thinking about AI and developer jobs. It feels like developers who build libraries, frameworks, compilers, and dev tools might be safer from AI replacement compared to people building typical CRUD apps. My intuition is that tooling work requires deeper systems knowledge and taste, while a lot of app-level code is becoming easier for AI to generate. Am I wrong? Curious what others here think

Ask HN: Where do you save links, notes and random useful stuff? 3 by a_protsyuk | 7 comments on Hacker News. I have 2,600+ notes in Apple Notes and can barely find anything. My kid just dumps everything into Telegram saved messages. Running a small research - curious what systems people actually use (not aspire to use). Do you have a setup that works or is everything scattered across 5 apps like mine?

Ask HN: How do you know if AI agents will choose your tool? 2 by dmpyatyi | 3 comments on Hacker News. YC recently put out a video about the agent economy - the idea that agents are becoming autonomous economic actors, choosing tools and services without human input. It got me thinking: how do you actually optimize for agent discovery? With humans you can do SEO, copywriting, word of mouth. But an agent just looks at available tools in context and picks one based on the description, schema, examples. Has anyone experimented with this? Does better documentation measurably increase how often agents call your tool? Does the wording of your tool description matter across different models (ZLM vs Claude vs Gemini)?