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Instant indexing on Google

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Instant indexing on Google

Hi HN. This is just a mini-project that I expect to get very little traction on, but for that small subset of people that need it, they will likely find it very useful. The pitch is this: When you run a website, it can sometimes take months for Google to index new URLs. If you are a business, or you are an impatient blogger, this can be problematic. As a service, this project is just a shortcut way for non technical folk to use the Google Indexing API. That way, they can index new URLs instantly. In other words - Google offers an API. The API is very useful, but it requires some technical-know how to set up and use. This project is basically a plug and play version of that API, so that non-technical people can benefit from it.

Visit productView on Hacker NewsJan 3, 2023
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3points
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Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, new · Missing: mac, agents, macos
89%89% 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.
TrustMRRFits verified-revenue profile · Strong signals: month, google, way · Missing: mobile apps, ios, personal
59%59% 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
49%49% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
30%30% 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
16%16% 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.

Correct prediction on native model

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