Qdorks.com – Advanced Google search query composer

Hacker News

Hi HN, qdorks.com is an advanced Google search query composer I have been working on lately. It makes it super easy to write complex Google search queries and save them for later usage. Main features: * Query composer with complex grouping, logical and exclusion operators per clause. * Share your queries with others so they can easily copy and modify the query. * No need to register; only when you want to save the queries. * AI support for PRO users. * More to come... I am pretty happy with how it works and would love your feedback! Happy to answer any questions. Thank you!

Visit product View on Hacker NewsNov 30, 2023

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

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

44%44% predicted probability of success on TrustMRR, 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

35%35% 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: users · Missing: plus, platform, intuitive

31%31% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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