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Help me price my startup webapp

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Help me price my startup webapp

Thank you for taking some time to help me out! http://projectionable.herokuapp.com I just launched Projectionable at http://projectionable.herokuapp.com. My goal is to decrease the time it takes to get client approval for project estimates by making the estimates interactive for clients. I haven't set up Stripe yet (I'm setting up an LLC then I'll be on my way), and I'm trying to iron out the pricing strategy by the time I have that set up. Basically, I see three options: 1. Charge users to invite clients to a project. These are single transactions on a per project basis. 2. Offer monthly subscription plans that allow users to make project estimates and invite clients to approve of them. Here, I could create some activity quotas to offer several pricing tiers. 3. A combination of both options above, charging a premium for per-project transactions. I absolutely appreciate any thoughts and sharing of analogous experiences! Thanks!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
79%79% 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: user, stripe, single · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: month, monthly, users · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription, active · 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.

Correct prediction on native model

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