Multi-Criteria Who Is Hiring Search for iOS Safari

Hacker News

This interactive iOS Safari bookmarklet lets you search for jobs on the HN Who is Hiring thread from an iOS device. Go to the HN Who is Hiring thread, make a bookmark, change the title to "HN Job Searcher" and replace the address with the following (paste in): javascript:void(function(){ var a=prompt('Enter keywords:').split(' ');var c=document.getElementsByClassName('athing');var r=[];for(var i=0;i<c.length;i++){ var m=0; for(var j=0;j<a.length;j++) { if (c[i].innerText.toLowerCase().indexOf(a[j].toLowerCase()) > -1) { m++; } } if (m==a.length) { r.push(c[i])} };var z=function(x, y) { x.onclick=function(){y.scrollIntoView();}}; for(var i=0;i<r.length;i++) {r[i].style.backgroundColor='orange';z(r[i], r[i+1])};r[0].scrollIntoView();}()) Then open the bookmark as you normally would while on the thread. In the popup that appears type your job criteria, e.g. "javascript remote", and the results are shown. Tap on a result to go to the next one. Reload the page and open the bookmark again to search again. Gist: https://gist.github.com/guarani/5503612c621630898dde7c862adceb76

Visit product View on Hacker NewsJun 3, 2016

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

59%59% 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.

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

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: open · Missing: mac, agents, macos

42%42% predicted probability of success on Product Hunt, 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

36%36% 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: active · Missing: arr, mrr, revenue

24%24% 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

8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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