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Burner Bitcoin – a simple hardware wallet for gifting Bitcoin

Hacker News

Burner Bitcoin – a simple hardware wallet for gifting Bitcoin

Hello HN! Late last year we launched Burner, a low cost Ethereum hardware wallet for gifting crypto. It's a card-sized wallet that generates and stores cryptocurrency keys with no need to manage seed phrases or private keys. It operates entirely through your smartphone browser and NFC. We've produced tens of thousands of Burners to date, primarily for gifting and partner collaborations (e.g. conference handouts). Today we're launching our most requested feature: a Bitcoin compatible Burner. Burner Bitcoin features nearly identical hardware to the Ethereum variant -- a secure element chip with NFC capabilities in colorful/translucent plastic -- however, we made the decision to split the Bitcoin and Ethereum versions into two products rather than creating a single monolithic wallet. This is because we're seeing that both end users and business customers want to use Burner as a tool to give specific assets rather than gifting a universal hardware wallet. In order to generate transactions on Bitcoin, Burner directly signs transactions using it's internal private key. You can add entropy that is hashed alongside entropy from Burner's RNG during the generation process of this key, but the private is never revealed in plaintext. We will also indicate through the interface whether or not a key has been used to sign a message or not, a helpful indicator so you can be confident funds have never been withdrawn from a gifted Burner. Like the original Burner, we offer open libraries to interface with the wallet so you can sign transactions and messages fully offline if you want to use it for cold storage rather than as a “cash like” wallet. Our long term vision is to make buying small amounts of various cryptocurrencies for those who are crypto curious as easy as buying a restaurant or retailer gift card.

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Indie HackersFits the IH revenue-focused audience · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting
92%92% 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: user, single, using · Missing: mac, agents, macos
76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · 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.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface, users · Missing: plus, platform, intuitive
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
45%45% 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
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto, cryptocurrency, smart · Missing: web3, chat, make money
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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