Demo.fun – a browser extension for creating interactive product demos

Hacker News

Hi HN, my name is John Wheeler, I’m a soloprenuer and this is my product launch. This is my second “startup” or “app” or whatever you want to call it. The first one was an eBay feedback reminder I made 10 years ago. I created that because I initially wanted it to make enough money to pay a utility bill, and it ended up being my main source of income. The rub was that I had eBay doing all the promotion for the app because of a special circumstance: they had an app store initiative, and it wasn’t as popular as they hoped with developers, so they closed it down and left only 50 apps there; mine being one of them. So, I got a ton of leads I didn’t have to work for, which was a blessing and a curse because I never had to teach myself any real marketing. But I’ve always wanted to - I just could never sink my teeth into that eBay app I wrote. That’s because I originally wrote it for my brother who was an eBay seller, and though I tried to get into it myself, I never could. Selling on eBay sucks. But I can get into creating product demo software. For the last 9 months, I’ve been heads down in my room just pushing and pushing through. I’m so proud of myself for doing that, no matter what the outcome is. I learned so much about HTML video, Framer motion, Floating UI, and React. My aspirations are that I want 200 people to pay me $23 a month each to help them create a demo of their SaaS, host it on their site, refine it over time, and track its engagement and conversions with Mixpanel. This is the second SaaS I’ve created. The first one was an eBay feedback reminder that I wrote 10 years ago. I’m responsible for all of the software engineering and now marketing. I’m a solopreneur, but I’m interested in talking to other people who can help! I created it so SaaS businesses can explain how their products work in that precious, small window of time their customers initially engage on their sites. You have about 3 to 5 seconds during that window, and if customers are able to play with an interactive, click-through demo, chances are they’ll click through to the end and leave with a better understanding of what it is you do. I started taking a Ben Marriot Motion Foundation course https://www.benmarriott.com/ and I created this product video, which I’m using for my Product Hunt launch next week https://www.youtube.com/watch?v=IJuiTbTjlAo I hope you’ll check it out and help me spread the word about https://demo.fun Thank you HN! Please let me know if you have any questions!

Visit product View on Hacker NewsMay 13, 2024

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

95%95% 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, using, plain · Missing: mac, agents, macos

85%85% 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 · Missing: https docs, excited, just released

70%70% 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: apps, video, month · Missing: mobile apps, ios, personal

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

Acquire.comPre-revenue stage for this audience · Strong signals: arr, saas, active · Missing: mrr, revenue, profit

25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

21%21% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

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

Incorrect prediction on native model

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