I created a free web widget that does cross promotion for me

Hacker News

I ship products and I'm launching a B2B SaaS in Italy, so I have a lot of domains and websites. In each one of them I had to edit & deploy a new version if I wanted to update contacts & personal info, links to other launched projects, link to temporary new offers that I might create for products, YouTube embeds (I started a personal channel). I got really tired, this does not scale well, it is basically O(kn^2) where n is the number of products I have and k is the number of modifications. So I created a plugin that embeds a widget. I can update data from a single place: update once enjoy everywhere. It has been a lot of fun to develop and I am planning a lot more integrations: - YouTube: show automatically most popular videos and most recent (already done) - Stripe: to flex your revenues in real time (I have 0$/m for now, so waiting to develop this LMAO) - Github: to show stats and repositories. The project is 100% FREE, at least for now. I would love some feedback from all the nerds here ♥. Cheers!

Visit product View on Hacker NewsJun 30, 2025

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1points

Did not reach leaderboard

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

76%76% 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: stripe, new, single · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, video · Missing: mobile apps, ios, entrepreneurs

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

41%41% 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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: revenue, saas · Missing: arr, mrr, profit

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real time · 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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