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Knowledge engine tracking wealth, power, influence

Hacker News

Knowledge engine tracking wealth, power, influence

I created Persagen.com [1] as a self-taught, solo programmer. Persagen is a knowledge / search engine devoted to the pursuit of universal social justice and equality, environmental protection, and universal human rights. Persagen tracks and curates wealth, power, and influence affecting these issues. Persagen seeks a better world and society. Sustainability; people over profit. My premise is that better knowledge enables better decision-making: voting; solutions, etc. Aside: I am trans [2], so the polarizing anti-LGBTQ+ rhetoric, protests and legislation (Canada, USA) are of particular concern / interest. Key attributes: * curation of news and data relating to wealth, power, influence * backend: Apache Solr, JavaScript, etc. * frontend: search, some visualization examples (d3.js) * curated data sources [3] * bespoke ontology [4] * prototype knowledge graph * FAQ [5] * Mastodon social media account [6] * external news RSS feed [7] * general introduction / overview [8] * technical introduction [9] * privacy-respecting (no trackers, ...) * demonstration page [10] Due to the backend server (Apache Solr; SSL/TLS-enabled) and the loading of some content into external tabs, JavaScript and popups are required (note case on password): u/n: guest p/w: @Guest123 Aside: I am seeking employment: please see my C.V. [11] and cover letter [12]. Thank you. [1] https://Persagen.com [2] https://victoriasjourney.com/ [3] https://persagen.com/docs/sources.html [4] https://persagen.com/html/blog/2022-06-30-what_is_an_ontolog... [5] https://persagen.com/html/faq.html [6] https://mastodon.social/@persagen [7] https://persagen.com/rss/pg-extnews.xml [8] https://persagen.com/html/intro_01.html [9] https://persagen.com/html/intro_02.html [10] https://persagen.com/docs/leonard_leo.html [11] https://persagen.com/about/victoria/cv.pdf [12] https://persagen.com/about/victoria/cl.pdf

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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: created · Missing: supports, reddit linkedin, podcasting
75%75% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
55%55% 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
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, visual · Missing: mac, agents, macos
21%21% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: profit · Missing: arr, mrr, revenue
15%15% 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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