sachou

chatgpt will crop your image if asked. maybe they will fix in the future

glad to hear you like it!

enjoy the free AI credits..

Yesterday was fun and crazy.

I have been working on my design tool for now more than 1 month. And yesterday when I saw that finally openAI released their latest gpt4o model for imagen called "image-1". I decided to quickly add it and launch on Product Hunt!

and voila! currently TOP #8 of the day and got first paying user.

Please give it a try (free credits available) and comment your feedbacks, it helps me so much to get it right!

Full focus on improving the product!

noted thank you for the nice reminder. Good I ll add more free tool and open playground

what would be your specific requirement?

Right now adding chunk size, model for embedding, what else?

Image is a great challenge with OCR can be solve as you mentioned

It is the responsibility of the user. Everyone should be responsible for their own actions. We still allow knives to be sold, and most people use them for good.

yes exactly,

The main issue in scraping:

- If you scrape a lot, you will be block based on you IP; You need to use PROXY - Scraping entire website need specific logic, retries and more - It becomes an heavy background job

All the above takes time, so if in your business it is not your core feature, likely better to outsource it.

Good job doing it tho!

I guess so if you goal is to have people knows about your content, might have a small SEO bump

do you need to embed it directly in pinecone ?

If yes then DataFuel is the right choice. Adding this feature as we speak.

Please let me know :)

yes exactly working on building a competitive advantage, but the AI space is so big and only getting bigger.

Any feedback that could help datafuel becomes more unique?

Good point! Thanks for the feedback.

Let me add that to my todos.

Yes, it has an extensive proxy IP and retry system in place to bypass bot detection.

I’m also trying to gather more feedback to identify the killer feature:

- Adding vectorization to Pinecone out of the box? - Adding multiple integrations like n8n, etc.?

Any crucial pain points to avoid?

What is the main difference compare to before?