Roast Landing Page: Contember Studio
Hello there, we, a small team at Contember, are currently developing a new application “Contember Studio”. Use AI to build your next administration based on a text description. The primary goal of our landing page is to tell users to give it a try. Visit us at https://www.contember.com/.
Some advice on what you put on your normal site or landing page ...
if this is your landing page of a new product ... created at least this year of 2023 ... why is Vilík Kopecký, a fullstack developer is saying in the review section ... I've been using Contember for years to develop projects ...
Now take a look at your message ... "Don't just take our word for it" ... and after it ... people find a fake review ... and then think ... if this one is fake the others are ...
and then the all site sounds like a scam.
I am not saying that you page is a scam but you need to pay attention to what you put in there or your business could get hurt by it.
Like linkedin and others, the IndieHackers community is home for some fake profiles, fake products and links to scam sites. I have seen it already and i am in this comunity for only 17 or 18 days. But it's not my job to detect this kind of things.
I wish the best of luck to your product.
Pedro
Hi Pedro, thanks for the feedback. We may not be describing our products clearly. Our main and oldest product is an open-source GraphQL engine for PostgreSQL with a strong focus on custom complex access control lists (ACLs). It dates back to around November 1, 2019, as seen in this GitHub commit: https://github.com/contember/engine/commit/3071ceebfcaaf394effa1d5c67e9b08019149cc4. Vilík Kopecký is one of the first developers to start using the Contember Engine for his system. Last year, we made Contember Engine available on AWS as a service (Contember Cloud) for those who don't want to operate the engine themselves. The latest project we're actively working on involves using GPT to help with project startup (Contember Studio). You, as the author, provide the system requirements in sentences, and the AI assistant prepares a basic model definition and generates a rough administration concept. You can then test and launch it either on your computer or in the cloud. Our goal is to speed up the delivery of MVP administration for any task.