Redirect clicks using a formula

Hacker News

Part of my day job requires me to review a report monthly. The URL for July's report looks something like this: fancyreport.com?from=2022-07-01&to=2022-07-31 Typing this URL manually every month was just enough pain for me to put up a simple script on somedomainiown.com/magic that redirected me to the report for the current month by automatically filling in the "from" and "to" values in the URL. This way, I could bookmark one link and always open the latest report with one click. At some point, I figured I should put this behind a UI so that I could share it with my colleagues and maybe HN too. A couple of weeks of hacking, and here we are with an MVP the little imposter inside me finally accepted to post online. P.S. the "formule" implementation gets the job done for me, but is pretty rudimentary. Would love to know if you have a specific use case that'd benefit from other parameters or a more advanced formula system.

Visit product View on Hacker NewsJul 24, 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 · Strong signals: para · Missing: supports, reddit linkedin, podcasting

68%68% 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

58%58% predicted probability of success on AppSumo, 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

50%50% 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 HuntUnlikely to reach the leaderboard · Strong signals: using, open · Missing: mac, agents, macos

41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, monthly, way · Missing: mobile apps, ios, personal

36%36% 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

17%17% 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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Redirect your users according to conditions you define

Indie Hackers1$50/moadvertising

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