AskToby.PHP – Open Source Search Engine Seeking Contributers

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hello, world Over the past two weeks I've been working on building a really crude search engine (AskToby.PHP), and have just finished managing to hack together a working prototype. The prototype has tons of bugs, only looks good on one monitor size, but it runs! At the moment its running on a Virtual Private Server crawling along at about 18,000 sites a day, crawling only the homepage of each site. But I think it has the potential to run much faster on a home-web server as my VPS appears to have much less bandwidth than my personal internet service. Anyway... If anyone's interested in working on a fun open source project hit me up. You can check out Version 2 of AskToby.PHP running on my website here: https://personalhomepage.xyz/asktoby.html And you can check out my hacked-together code here: https://github.com/crispytx/asktoby.php If anyone is interested in contributing, feel free to contact me: chrispedatx@gmail.com

Visit product View on Hacker NewsMay 27, 2016

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Product HuntOn track for Day 1 leaderboard · Strong signals: code, open · Missing: mac, agents, macos

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, 000, io · Missing: https docs, excited, just released

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

34%34% predicted probability of success on AppSumo, 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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