Me

Mellow – Vertical spreadsheet-based ERPs

Hacker News

Mellow – Vertical spreadsheet-based ERPs

Hello HN! I'm Tal Hoffman, a 26-year-old software engineer (you may have seen my previous post: https://news.ycombinator.com/item?id=34964197). I'm working on Mellow (https://www.playmellow.com), a vertically-integrated spreadsheet tailored for small businesses, with a primary focus on small retailers. The challenge faced by small businesses is that they want automation but are reluctant to part with their spreadsheets, and so they're stuck between a rock and a hard place: (1) Stick with spreadsheets and sacrifice automation (Cheap but labor-intensive, error-prone, and limited automation tools with limited vertical capabilities). (2) Switch to a more robust system (Expensive, often inflexible, requires significant ramp-up time, and still requires complementary spreadsheets). After engaging with numerous small retailers and agencies over the past year, I decided to take the plunge and develop a retailer-focused vertical spreadsheet web app. It currently integrates with Shopify and WooCommerce, and we have an alpha-level integration with eBay. There's plenty of work ahead, particularly in terms of improving spreadsheet flexibility, developing templates, adding more integrations, and, most importantly, creating comprehensive documentation! I would greatly appreciate any feedback from the HN community. Check out this brief demo video (21s): https://youtu.be/IMpWEbgMcXE Looking forward to your thoughts! -Tal

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
85%85% 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
58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
43%43% 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
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: shopify · Missing: arr, mrr, revenue
20%20% 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.

Incorrect prediction on native model

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