entherhe

It reminds me of a platform for AST based code quality control called merico, https://devlake.apache.org/

I always feel like whiteboarding & concept mapping is better when it comes to generative AI, especially when it comes to the nature that we are chat in a "multimodal way" these days -- just think of old plain text SMS compared to mems links rich-text powered IM tools nowadays.

Congrats! you may also check flowith and ai.affine.pro for similar selling points.

Also, heptabase is good and they will definitely make a ai version soon or later.

Basically devv replaced stackoverflow for me, and it performs better than perplexity, chatgpt and bing when I search for code snippets

Devv.ai has been the best code search engine for me for a while. Direct support of searching the web is definitely a right move. Looking forward to it

Local-first and open-source

For now, at this phase I would say we just want to provide general personal knowledge workers before we monetize Affine with business users. We love the idea of semantic web or in Notion that makes the sorting of knowledge & planning of to-dos much more elegant. And we just want to make it more smooth. Besides, we believe a local-first knowledge base is something people(you should always have full control of your data, especially when we talk about knowledges). In longer term, we saw that companies still have to pay a lot just to reinvent the wheels trying to merge their business data and SOPs together. An IT department is not something every SMB can afford and tbh they are not functioning well even in the big companies. And what we are trying to deliver from the business side by open-source is to make high-performance data spreadsheet, modern airtable-ish tables as well as block editors available to every SaaS company by offering Infra-as-a-service. Just like how databricks changed the data industry.

How is it different from notion?