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Ten Dollar Adventure, an interactive kids' book on entrepreneurship

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Ten Dollar Adventure, an interactive kids' book on entrepreneurship

TLDR: I authored and developed an interactive fiction book introducing kids to entrepreneurship and money management. There are digital (Web Book, Audiobook) and physical (Paperback, Hardcover) formats. Read an entire storyline/adventure of the Web Book, no login required here: < https://tendollaradventure.com/sample/ > --- I authored and developed an interactive children's book about entrepreneurship and money management. The journey started with Twinery, the open-source tool for making interactive fiction, discovered right here on HN. The tool kindled memories of reading CYOA style books when I was a kid, and I thought the format would be awesome for writing a story my kids could follow along, incorporating play money to learn about transactions as they occurred in the story. Twinery is a fantastic tool, and I used it to layout the story map. I really wanted to write the content of the story in Emacs and Org Mode however. Thankfully, Twinery provided the ability to write custom Story Formats that defined how a story was exported. I wrote a Story Format called Twiorg that would export the Twinery file to an Org file and then a Org export backend (ox-twee) to do the reverse. With these tools, I could go back and forth between Emacs and Twinery for authoring the story. The project snowballed and I ended up with the book in digital and physical book formats. The Web Book is created using another Org export backend. Ten Dollar Adventure: < https://tendollaradventure.com > Sample the Web Book (one complete storyline/adventure): < https://tendollaradventure.com/sample/ > I developed another nifty feature that lets readers of the physical book access an online dashboard of achievements anonymously using secret "magic words" in lieu of requiring personal information. I couldn't muster the effort to write a special org export backend for the physical books unfortunately and used a commercial editor to format these. Twiorg: < https://github.com/danishec/twiorg > ox-twee: < https://github.com/danishec/ox-twee > Previous HN post on writing the transaction logic using an LLM in Emacs: < https://blog.tendollaradventure.com/automating-story-logic-w... > Twinery 2: < https://twinery.org/ > and discussion on HN: < https://news.ycombinator.com/item?id=32788965 >

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, started · Missing: supports, reddit linkedin, podcasting
96%96% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
71%71% 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 · Missing: plus, platform, intuitive
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: personal, entrepreneurs · Missing: mobile apps, ios, apps
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: mac, new, physical · Missing: agents, macos, agent
29%29% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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