MV

MVIII – Fastest Private Search Engine

Hacker News

MVIII – Fastest Private Search Engine

Hey HN, I'm thrilled to announce MVIII, a new private search initiative to redesign the web for human generated content and authenticity. Don't get me wrong I'm a huge fan of AI and the recents developments, that have made it look more natural. But overall the need for original and authentic connection has increased over the last few years,especially after covid-19, AI models are good at generating summaries and explaining a concept but fail to connect with readers. And the presence of bad actors utilizing AI to generate spam content over the internet has impacted the quality of searches. Which I believe is only going to increase, see the reports available here https://en.wikipedia.org/wiki/Dead_Internet_theory Due to which the internet as a source for information and it's basic mission seem to be sidelined https://www.google.com/search?q=why+was+arpanet+created I've designed MVIII for searches to be more content focused and accurate to the terms you're searching for than Google, they're independent of classic page rank(in terms of backlink, domains among others etc.), which means, whether you have more backlinks or not, you don't have to compete for ranking with established brands or big tech companies, all you have to do is focus on your content and it's relationship to the query; Currently the website index database is only 72k website paths which for reference is a lot smaller than any other search engine some samples searches I've tested on: https://mviiii.searchall.site/search/?q=hacker%20news https://mviiii.searchall.site/search/?q=github%20awesome%20l... https://mviiii.searchall.site/search/?q=keywords Thank you for reading till the end, I'd like to hear your feedback with the service.Feature requests or new ideas are also appreciated. The stack(if anyone's interested): - VanillaJS (Frontend) - MongoDB (Backend) - FastAPI (Python/Backend) - Firebase and Sevalla for Hosting Also API is simple and available for free for anyone to use at https://hopp.sh/r/hJ89W515UFb8

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
97%97% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, google, new · Missing: mac, agents, macos
76%76% predicted probability of success on Product Hunt, 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
56%56% 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: host · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
34%34% 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
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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