Chatbase Reviews

1. christophepais

   about 3 years ago
   Bad work

   Chatbase Evaluation: Definitely, after many hours of uploading documents that I have been refining, it continues to respond with absurd or incorrect answers, and sometimes even claims to have no information when it had answered correctly just 10 minutes before. A significant waste of time and money.

Linear Reviews

Chatbase mentions (12)

• Show HN: Put ChatGPT on any website in 5 seconds. No signup required

  Congrats on the launch. How is it different from - https://chatbase.co/ https://sitegpt.ai/. - Source: Hacker News / almost 3 years ago

• ChatGPT trending down hard in a lot of places (although not in India)

  More and more people won’t use the base product directly, but downstream products such as https://chatbase.co, Microsoft Copilot integrated in all office applications, upcoming robots such as OpenAI Neo, etc. Source: about 3 years ago

• Paid AI to train on company docs?

  Chatbase.co is a good one. You can upload any text related file or pdf. Pretty user friendly and there's a lifetime deal on appsumo right now. Source: about 3 years ago

• Upload multiple pdfs and ask questions about these pdfs

  I know there are several services out there such as chatbase.co (https://www.chatbase.co/) What service do you use? Source: about 3 years ago

• What GPT/AI apps do you actually use? I'll share my favorites

  Chatbase.co is a web app where you can embed pdf-s and then ask anything about it. It's an awesome tool to create questions for my college lecture notes and find answers in lengthy documents to easy questions (e.g.: How many times can I take an exam for free?). There is a free version which is enough most of the time for these kinds of use cases. Source: about 3 years ago

Linear mentions (162)

• The Tradeoff That Slows Production Teams Down: Flexibility vs Actually Shipping

  Speed matters. Not speed in sprint or linear dashboards. Not speed in story points. - Source: dev.to / about 2 months ago

• Freshworks Just Shipped an MCP Gateway Inside Its ITSM Platform. Here's What That Actually Changes.

  Model Context Protocol, for context, is the emerging standard for letting AI agents pull live data from external systems without custom integration code. Freshworks has implemented it as a native layer in Freddy AI, which means agents can now reach into Notion, ClickUp, Linear, Workday, Rippling, and the rest of the enterprise stack — not through brittle webhooks or bespoke connectors, but through a standardized... - Source: dev.to / 2 months ago

• How to Document and Track Technical Debt

  Issue trackers: GitHub Issues, Linear, or Jira work well because technical debt records live in the same tool as feature work. This makes them easier to pull into sprint planning and keeps the debt backlog visible alongside the feature backlog. The main risk is that debt issues get buried under feature issues without careful labeling and triage discipline. - Source: dev.to / 2 months ago

• How to Write a Technical Debt Remediation Plan for Non-Technical Stakeholders

  Linear and similar tools can track velocity metrics per area of the codebase over time, making the before/after comparison straightforward to document. - Source: dev.to / 2 months ago

• Master the in demand of salary negotiation and system design: What Fails

  Most engineers fail salary negotiations because they use vague statements like "I work hard" or "I’m a good teammate" instead of quantified, verifiable impact. After 15 years of negotiating offers, I’ve found that engineers who tie their ask to concrete business outcomes land 30% higher offers than those who don’t. For example, instead of saying "I improved the API", say "I reduced API p99 latency by 400ms, which... - Source: dev.to / 2 months ago