IdeaSparked – Simple Idea Management

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Longtime lurker here, wanted to get some feedback on my new side project I just launched. IdeaSparked - a Simple Idea Management Tool.I built this for a couple reasons - initially for myself, I'm one of those people who gets a ton of ideas and I previously kept track of them in notepad, google docs, a notebook, etc - and I'd always wanted to build something more custom to my needs. So this was really built out of personal want/need.The second reason was I wanted to learn a few new technologies and start building a portfolio up. I don't have a lot of 'solid' framework experience, so I decided to take a stab with Laravel PHP Framework.I also wanted to learn one of the Javascript frameworks and decided to use KnockoutJS. I think it works great for what I'm using it for in this app.I also used Stripe API to handle payments.Anyways, I'm looking for some general feedback, not really expecting this to take off but I wrapped it up to be used by others if they wish and maybe it will be useful. It really helps my two needs (self-use and learning) and I'll continue to use it and update it as my needs and those of any users change.I know I'll have some bugs and some beta users have been very helpful with those so far, but any additional feedback, tips, would be greatly appreciated.Summary: Site: http://www.ideasparked.com Demo: http://www.ideasparked.com/user/login/demoSimple Idea Management Tool that allows you to add, manage, and track all of your ideas. Can categorize them, see what status they are in, make notes, outlines etc. Have a list of some minor features coming soon (custom Idea Types, search filters, etc) and some more extensive ones down the road (public ideas/discussion, exporting, wireframing perhaps).

Visit product View on Hacker NewsFeb 26, 2014

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

89%89% 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: google, user, stripe · Missing: mac, agents, macos

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, 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 · Strong signals: soon, users · Missing: plus, platform, intuitive

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal, google, users · Missing: mobile apps, ios, entrepreneurs

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · 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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