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Collect, manage and showcase customer testimonials with Shapo.io

Hacker News

Collect, manage and showcase customer testimonials with Shapo.io

What is Shapo.io? Shapo makes it super simple to collect, manage, and showcase your best testimonials, hassle-free. With 5 years in the social proof niche, we've observed just how vital it is for businesses to display testimonials and elements that enhance customer trust and credibility. Shapo.io was born out of this insight to empower you! Seamless Testimonial Collection Create compelling and high-converting testimonial collection forms to share anywhere, or effortlessly import your existing testimonials from across the web. It's as easy as 1-2-3! Organized Testimonial Management Streamline your testimonials in one central location with distinct workspaces for various products or services. Say goodbye to scattered feedback and hello to organized excellence! Customizable Widgets Show off your best testimonials with our customizable widgets, building trust in your brand and giving your audience the confidence to make a purchase. Your success stories, beautifully displayed! Collect From Everywhere Gather up all the awesome things your customers have said about you on social media (Twitter, Facebook, LinkedIn) or on review sites (G2, Capterra, Google), and more! It's time to bring them all into one spot and never miss a positive word. Boost Your Presence Harness the incredible power of social proof by flaunting your testimonials in emails, social media posts, and sticking them directly onto your sales pages – pretty much wherever your customers are! Easy Integration Copy and paste your widget JavaScript snippet into any website or platform, such as Shopify, WordPress, Bubble, WebFlow – you name it! Seamlessly integrate Shapo.io into your digital landscape. Best of all, Shapo.io offers a FREE plan, so everyone can experience the magic.

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Actual performance

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Indie HackersFits the IH revenue-focused audience · 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: google, email · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, widgets · Missing: mobile apps, ios, personal
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
23%23% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: shopify · 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.

Correct prediction on native model

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