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Restimuli – ESG-Focused Business Directory

Hacker News

Restimuli – ESG-Focused Business Directory

Hello HN :) I’m Pat, the maker behind Restimuli - a Business Directory focusing on facilitating interactions between buyers/investors and suppliers who are devoted to ESG values, especially in essential industries such as Pharma, Medical Devices, Diagnostics, Chemicals, Logistics and more. The idea was born out of a recognition that navigating the world of suppliers is notably complex, especially for those prioritising sustainability and responsibility. Be it a potential buyer, an ESG equity analyst, or a conscious job-seeker, Restimuli is designed to simplify the discovery of companies making a positive, honest impact in their industries. Key Features: 1. Industry-Specific Filters: Tailor your search with filters specific to your industry and the values that are crucial to you. 2. Interactive Company Tiles: Quick snapshots provide insights into a company's commitment to ESG values, allowing users to explore deeper if they wish. 3. Comprehensive Profiles: Delve into detailed profiles to understand a company's adherence to values, their offerings, products/services credentials, and their contributions to corporate social responsibility including donated products services . Restimuli aims to augment companies' sustainability pages by showcasing their values to a wider array of prospective buyers and investors. As we say: No great internet search results from "suppliers with a published modern slavery statement". ESG analysts and procurement folks can find value in Restimuli's filters to discover new equities, diversify their supplier base. I'd love to hear your thoughts, feedback, or questions on this. https://www.restimuli.com/

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Actual performance

5points
2comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
93%93% 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, including · Missing: https docs, excited, just released
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
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.
Product HuntUnlikely to reach the leaderboard · Strong signals: user, new, using · Missing: mac, agents, macos
27%27% 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: arr, active · Missing: mrr, revenue, profit
9%9% 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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