So

Softly (YC SUS Summer 2022)

Hacker News

Softly (YC SUS Summer 2022)

Hi HN- Mollie and Kathy here with an update on Softly – a browser extension that helps you find more sustainable products when you are shopping online! Simply add our extension on to your browser, tell us what your value preferences are and as you shop online, our recommendation engine will suggest SWAPS that help you tread more softly on our planet! We are looking for feedback on our extensions functionality. More details can be found here: https://www.shoppingsoftly.com/getsoftly Download the extension here: https://chrome.google.com/webstore/detail/softly-extension/p... Right now we are available through the Chrome Web Store. The extension works on Amazon with personal care products and some household cleaning products at this time. You can submit feedback directly through the extension. The problem There are over 230 million online shoppers in the United States, and 77% of them say they are willing to change their purchase preferences based on environmental friendliness. Yet only 26% of those wanting to buy purpose driven brands that advocate sustainability do, with 74% indicating that they don’t know how to identify eco-friendly products. Additionally, consumers who do shop sustainably spend a significant amount of time researching a product to determine if it matches up to their value preferences. We’ve found in our customer interviews that many who try, quickly give up. They become overwhelmed as they travel down a rabbit hole of unending questions. Does the product have a low carbon footprint? Was it manufactured using fair labor practices? Where is it made? Who do I trust to provide the information I need to make a decision? Researching and finding products that align with your value preferences is a hassle! The solution - Softly makes it simple to support products you believe in and shop sustainably. Tell us what you care about in a product, such as if it's low carbon, organic, or cruelty free. Softly will then work in the background as you shop on any online site to suggest sustainable alternatives to the products you're already looking to purchase. Simple. Sustainable. Softly. Our customer interviews have shown that climate change and sustainability issues are overwhelming concepts, so our goal is to make it easier to be actively involved as a consumer. Softly will change the way we shop through simplicity and convenience, so we can purchase products we believe in. Many thanks, Mollie and Kathy www.shoppingsoftly.com

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
91%91% 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.
TrustMRRLess likely to generate early MRR · Strong signals: personal, google, way · Missing: mobile apps, ios, entrepreneurs
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: google, using · Missing: mac, agents, macos
48%48% predicted probability of success on Product Hunt, 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
43%43% 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 · Strong signals: friendly · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · 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

Similar products

Hoodies and T-shirts
Hoodies and T-shirts65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hoodies and t-shirts for both winter and Summer

Indie Hackerscommitment-full-time
Al
Algolia (YC W14) Presents DocSearch74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Algolia (YC W14) Presents DocSearch

Hacker News9
Wh
Why we killed imwith and launched GIFted (Guggy YC S17)73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Why we killed imwith and launched GIFted (Guggy YC S17)

Hacker News2
Cr
Crowdfunding by BackerKit (YC W13)63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Crowdfunding by BackerKit (YC W13)

Hacker News2
Wh
Why YC when there's YZ?59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Why YC when there's YZ?

Hacker News5
So
Somethingservice (YC W23)57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Somethingservice (YC W23)

Hacker News2
YC
YC for YC Rejects78%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

YC for YC Rejects

Hacker News1
YC
YC Hack Winner – RepoWorld67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

YC Hack Winner – RepoWorld

Hacker News1
Platus YC F24
Platus YC F2477%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your AI Paralegal

Product Hunt+271Legal
CampMate
CampMate46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find your perfect summer camp

Indie Hackers2b2b