No-code tool for creating stunning portfolios and resumes

Hacker News

Hey Hacker News community, I’m excited to share something I’ve been working on that you’ll find really useful! I created a no-code tool called Portfoliia that simplifies the process of building stunning portfolios and resumes. Creating and updating portfolios and resumes can be a time-consuming and tedious task. Not everyone has the design skills or the time to keep their professional profiles polished and up-to-date. This can be a significant hurdle when you're focused on learning new skills, growing your career, and landing that dream job. With Portfoliia, you can quickly generate and customize your portfolio and resume without any coding or design skills. Our platform offers built-in analytics to monitor how potential employers are interacting with your content. Plus, it’s optimized for SEO and Google indexing, making it easier for you to get noticed. Key Features: - Instantly generate professional portfolios and resumes - Easy customization options - Built-in analytics to track views and interactions - SEO optimization and Google indexing - Live links for easy sharing - Downloadable PDF resumes I launched Portfoliia on Product Hunt, and I would love for you to check it out and share your feedback! Check out Portfoliia on Product Hunt: https://www.producthunt.com/products/portfoliia Looking forward to your thoughts and suggestions! Cheers, Divine

Visit product View on Hacker NewsJun 22, 2024

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

95%95% 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: google, new, coding · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: plus, platform · Missing: intuitive, reviews, host

58%58% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, hacker news, io · Missing: https docs, just released, exist

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: ios, google · Missing: mobile apps, personal, entrepreneurs

38%38% 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

14%14% 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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