My attempt creating an AI therapist

Hacker News

Five months back, I started building Visioncast. Drawing inspiration from psychology-related books like "Psychocybernetics" and "What to Say When You Talk to Yourself", I've been fascinated by the power of affirmations and positive self-talk. This fascination was the seed for Visioncast, guiding users through personalized audio exercises including affirmations, meditations, motivational speeches, and visualizations, all tailored to their individual needs. I'm leveraging GPT-4 and TTS to deliver content that's not just personalized but deeply resonant with the challenges and aspirations of the user. Whether it's bolstering self-esteem or stopping procrastination, the app is aims to support mental and emotional well-being. Perfecting the user experience has been tricky. Right now I'm copying ChatGPT's suggestion cards to start you out, paired with a customization screen that offers extensive control over the final output. This level of personalization sets Visioncast from app like Calm, Headspace, and Waking Up, which offer no personalization. In the first version, it took 1m 20s to generate audio. I had to wait for the whole GPT4 response to come in. I've streamlined audio processing and streaming (with lots of fighting with AWS/Django/React Native and Nginx) And now, with the app inching ever closer to what I envisioned as an AI mentor, the validation from our first two paying users has been incredibly affirming. I'd love to hear your insights/feedback, as I'm still working out UX and some bugs.

Visit product View on Hacker NewsFeb 19, 2024

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Strong signals: started, including · Missing: supports, reddit linkedin, podcasting

88%88% 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: user, visual, chatgpt · Missing: mac, agents, macos

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, month, users · Missing: mobile apps, ios, entrepreneurs

65%65% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: users · Missing: plus, platform, intuitive

57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: nginx, io, including · Missing: https docs, excited, just released

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% 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, audio · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Deepen

The AI Therapist App

BetaList

Thoughtcoach Open-Sourced. AI Therapist59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Thoughtcoach Open-Sourced. AI Therapist

Hacker News3

Tic Tac Toe – Creating Unbeatable AI37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tic Tac Toe – Creating Unbeatable AI

Hacker News6

First AI Therapist for you. Built in <24hrs42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

First AI Therapist for you. Built in <24hrs

Hacker News1

We are creating the Venmo of Ethereum31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We are creating the Venmo of Ethereum

Hacker News4

Creating a Monorepo with Lerna and Yarn Workspaces55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Creating a Monorepo with Lerna and Yarn Workspaces

Hacker News2

Hamilton, a Microframework for Creating Dataframes57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hamilton, a Microframework for Creating Dataframes

Hacker News64

The perks of creating dataflows with Hamilton57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The perks of creating dataflows with Hamilton

Hacker News4

Binary JellyFish – A mistake while creating Newton Fractal59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Binary JellyFish – A mistake while creating Newton Fractal

Hacker News3

Dust – Creating Ephemeral Gestures on iOS868%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dust – Creating Ephemeral Gestures on iOS8

Hacker News1

Browse all products Analyze your launch