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Hacking the cremation urn industry – Artisurn.com

Hacker News

Hacking the cremation urn industry – Artisurn.com

I have been a fan of hn for a long time. I spent a lot of time lurking and then finally made an account. I have found a lot of the startups getting launched on or through this site as inspirational. I am not a programmer but I do consider myself a hacker. I am originally from Russia but now live in the US. This is my third business and my first online business. I did all of the design and setup of artisurn.com myself using shopify. I would appreciate any feedback or tips from the community on any way to improve on what I have created. I feel that the funeral business is ripe for disruption and I've chosen to start in the cremation urns category as a proof of concept. So far things have been moderately successful. I'd really appreciate any feedback. Thanks!

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
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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
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: using · Missing: mac, agents, macos
27%27% 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: shopify · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, 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.

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