I created an AI board of directors for founders

Hacker News

Most of us founders won’t publicly admit it: We’re very lonely and stressed. I know from 20 years of building 4 companies (1 failure, 3 acquisitions). We can’t be truly transparent with our team, board, investors, twitter, family or friends. We want to, but can’t. No matter what we’re thinking or feeling, we have to project strength. During my entrepreneurial journey I longed for a group of always-available experts that met these criteria: 1. Experienced 2. Trustworthy 3. Kind yet extremely direct 4. Available and affordable Obviously now with LLMs like gpt-4-1106-preview, we’re unlocking potential to solve this for founders. As a step in that direction I’ve created a set of 6 GPTs that can act as your own private, confidential board: CPO, CTO, CRO, CFO, Investor and Coach. I’ve also open sourced the system prompts so you see how they work. I’m hoping that this helps founders avoid some of the pitfalls and dark valleys I’ve encountered. Notes: * If you want greater privacy you could try running these prompts locally with something like Mixtral-8x7B-v0.1 * The GPTs are free but you need a ChatGPT Plus account ($20/mo)

Visit product View on Hacker NewsJan 15, 2024

Share card

Actual performance

5points

6comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

83%83% 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: chatgpt, notes, open · Missing: mac, agents, macos

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: open source, ide, io · Missing: https docs, excited, just released

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: plus · Missing: platform, intuitive, reviews

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

22%22% 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.

Correct prediction on native model

Similar products

I created a board game with Stable Diffusion63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I created a board game with Stable Diffusion

Hacker News27

NewsFreak: A newsreader I initially created for myself40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

NewsFreak: A newsreader I initially created for myself

Hacker News1

I created a toothbrush that docks and charges without wires42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I created a toothbrush that docks and charges without wires

Hacker News2

I'm tired of corrupt US politicians, so I created this38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I'm tired of corrupt US politicians, so I created this

Hacker News334

Created Gapsly, Now What?47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Created Gapsly, Now What?

Hacker News2

Stumpy – StumbleUpon Re-Created45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stumpy – StumbleUpon Re-Created

Hacker News3

My grandfather died so I created RIP35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My grandfather died so I created RIP

Hacker News1

Why I created Picket35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Why I created Picket

Hacker News1

The Most Toxic App Ever Created29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Most Toxic App Ever Created

Hacker News3

Twosome - app created originally for my girlfriend39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Twosome - app created originally for my girlfriend

Hacker News32

Browse all products Analyze your launch