Tapgiant.com – Store Provisioning

Hacker News

In the past months I built a SaaS which allows small&medium business that commercialize physical products and sell them through small shops/stores to orchestrate their orders. I got inspired by a friend that did all the orchestration using messaging apps thinking that I can help. The product allows owners to create and categorize their products, manage a team that can place and deliver orders, to receive orders from customers and even export weekly warehouse exits for accountant. It also includes analytics dashboard and activity timeline. I've integrated Paddle for subscriptions (Initially tried Stripe but it's way more complicated and doesn't do taxes). Currently no subscriptions can be purchased but Trial plans can be activated for anyone that wants to try the product. Any feedback is welcomed.

Visit product View on Hacker NewsApr 4, 2022

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Actual performance

2points

2comments

Did not reach leaderboard

Launch Intel predictions

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

88%88% 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, stripe, activity · Missing: mac, agents, macos

87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: apps, month, way · Missing: mobile apps, ios, personal

61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

25%25% 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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