Taskwer – Crowdfunding platform for your goals and I'm it's first user

Hacker News

Hi guys, I'm the guy behind Taskwer. Taskwer is a crowdfuding platform which allows people to raise funds for their goals e.g. education, travel, business ventures etc. What makes Taskwer different is that people don't have to ask for donations, instead they can offer services. Services can range from in-person services like tutoring, baby sitting, home repair and online services like writing, graphic design, software development etc. I've been building this app for some time now, most features have been implemented but there is still a lot of work to do, many features I would like to add but even more importantly, I have to focus on getting users and building community around it. This project has been bootstrapped so far and I don't have a marketing budget for it so I would like to raise $20,000 to take this app to the next level. Also, raising funds for something and offering services in return is a new concept and with this campaign I want to see if this is a viable concept. I will be my first user and I will see first hand if this is something people find useful or not.

Visit product View on Hacker NewsDec 7, 2023

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

83%83% 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: 000, io · Missing: https docs, excited, just released

64%64% 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: user, new · Missing: mac, agents, macos

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

TrustMRRFits verified-revenue profile · Strong signals: users, education · 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 · Strong signals: platform, users · Missing: plus, intuitive, reviews

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

13%13% 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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