No

No-Code Platform to Build Generative AI Apps and Chatbots

Hacker News

No-Code Platform to Build Generative AI Apps and Chatbots

Hey everyone! we just launched Promptly apps ( https://trypromptly.com/ ), a no-code platform to build generative AI apps and chatbots. We allow users to build web apps and chatbots by chaining LLM APIs (we call processors) from providers like OpenAI, StabilityAI, Cohere etc, without writing any code. We also let users to bring in their own data and store it in a vector database to be used for context augmentation in their apps. Users can import data from a variety of sources including urls, sitemaps, PDFs and other file types Published apps are accessible to app's users via a public url. Chat apps can also be embedded as a chat bubble on external websites. There are also high level processors offered by Promptly which unlocks things like extracting text from files, youtube urls etc., enabling users to build some sophisticated applications. Here are some example applications: Resume generator - https://trypromptly.com/app/d478594d-2082-46c9-bee7-f057f4bc... - Uses single ChatGPT processor to generate tailored resume based on user and job information Story generator - https://trypromptly.com/app/9d6da897-67cf-4887-94ec-afd4b936... - Takes in a theme, generates a short story and an illustration to go with it. This is built with three processors, ChatGPT to generate story -> ChatGPT to generate DALL-E prompt -> DALL-E image generation. Promptly support - Chatbot on Promptly website itself is built on the platform with website url as the datasource. https://twitter.com/ajhai/status/1643521969072242689 shows how the chatbot was built. We built Promptly as a prompt and LLM workflow management platform out of our experience using LLMs at MakerDojo and landed here. Please try it out and let me know if you have any feedback or questions.

Share card

Actual performance

5points
2comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
94%94% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user, context · Missing: mac, agents, macos
89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io, including · Missing: https docs, excited, just released
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, users · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

No
No-Code Platform to Build Generative AI Apps and Chatbots64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

No-Code Platform to Build Generative AI Apps and Chatbots

Hacker News5
Bu
Build and share generative AI apps – no code50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Build and share generative AI apps – no code

Hacker News1
Ge
Generative AI for TailwindCSS33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Generative AI for TailwindCSS

Hacker News2
A
A Generative AI Encyclopedia62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Generative AI Encyclopedia

Hacker News5
No
No-code generative AI applications40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

No-code generative AI applications

Hacker News3
Pr
Prompt Apps – Ready-to-Use Generative AI Apps from Prompt39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Prompt Apps – Ready-to-Use Generative AI Apps from Prompt

Hacker News16
Ge
Generative Fill with AI and 3D58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Generative Fill with AI and 3D

Hacker News360
Sc
Scriptd – The Generative AI Platform for TikTok40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Scriptd – The Generative AI Platform for TikTok

Hacker News2
It
Iterative architectural design using generative AI42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Iterative architectural design using generative AI

Hacker News4
ta
tailgate – Build generative-AI features without a backend57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

tailgate – Build generative-AI features without a backend

Hacker News1