Querytastic VS AI Helper Bot
Compare Querytastic VS AI Helper Bot and see what are their differences
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Querytastic
AI2sql
LogicLoop AI SQL Copilot
GuruSQL
BlazeSQL
Text2SQL.AI
AskYourDatabase
Vanna AI
AI Helper Bot
AI2sql
Text2SQL.AI
BlazeSQL
GuruSQL
GitHub Copilot
Anania
Cody - AI for Business
Generate optimised SQL queries for BigQuery, DB2, Apache Flink, Apache Hive, MariaDB, MySQL, PostgreSQL, SQLite and TransactSQL in seconds
Querytastic AI Helper BotNo features have been listed yet.
Querytastic's answer
Beautiful UI, no nonsense pricing, can invite team members
Querytastic's answer
Developers who want to easily generate SQL queries, or people who have never used SQL before and need some help
Querytastic's answer
I'm not good at SQL, so I built it to help me
Querytastic's answer
Next.js, TypeScript, OpenAI
Querytastic's answer
Its beautiful design and the fact you can easily invite team members for no extra cost
Based on our record, AI Helper Bot seems to be more popular. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
One thing that keeps coming up is that SQL equals low productivity. I don't think this is true. I think the culprit is that most developers are using to heavily abstracting SQL using ORMs like Prisma that hides the database and SQL logic. Since building a SQL generator (https://aihelperbot.com) as a side project, I have become much more proficient in SQL and even though I am also locked into Prisma, I use the... - Source: Hacker News / 7 months ago
A few things I have learned over the years and in particular launching and growing my latest project[1]: 1) Track everything including errors. Know what users are using and what they aren't. Remove or rebuild less used features. 2) Find out who your users are and what they value. Ignore non-payers. 3) Economize, market, and document features. You not only need to develop and deploy features, but also to price them... - Source: Hacker News / 7 months ago
It started with me working on a hobby project, aihelperbot.com which enables users to generate SQL using AI. It was build using the comprehensive Prisma ORM. I always found Prisma bloated and it requires almost constantly that you lookup their API for even trivial usage. Source: 8 months ago
Sounds like a combination of an unpolished product with insufficient demand and wrong business model. Users today don't want to pay XXX up front for a complicated product, they want a free tier where they incrementally learn about features. I just looked up what I spend on Google Ads for a small campaign on SQL/AI related keywords for https://aihelperbot.com: - $699.95 (part of a spend $400 to get $400 deal) -... - Source: Hacker News / 9 months ago
Neat setup. Regarding the deploy script. I have just setup a separate VPS for proxying database queries using various Node database drivers for my own project[1] and only used Github Actions managing it[2]: - add build script using Github Action that fails the entire build pipeline if code doesn't build - add deploy script (essentially a few commands ssh into your VPS and pulling, install, building and restarting)... - Source: Hacker News / 10 months ago
AI2sql - ✔️ With AI2sql, engineers and non-engineers can easily write efficient, error-free SQL queries without knowing SQL.✔️ Querying has never been easier.
LogicLoop AI SQL Copilot - SQL AI Copilot for business and data teams
Text2SQL.AI - Generate SQL with AI!
GuruSQL - GuruSQL greatly speeds up the development of SQL statements, helping improve efficiency and reduce errors.It is indispensable for developers, database administrators, and anyone else who works with SQL frequently.
BlazeSQL - ChatGPT for your SQL Database
GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.