Olle – ChatGPT on Your Mac

Hacker News

Hello HN, I must admit, I might be fashionably late to the GPT party, but it was back in early February when I first delved into the world of ChatGPT. To say I was instantly captivated by its capabilities would be an understatement. You see, prior to my ChatGPT encounter, I often found myself laboring for days on various technical challenges, such as wrestling with cross-platform libraries and tracking down elusive memory leaks, among other things. Then, around March of this year, I began my quest for solutions that could alleviate my development burdens, sparing me from having to create everything from scratch. However, the available options were either tied to costly monthly subscriptions, relied on cumbersome embedded web views, or simply failed to align with the model I had in mind (plugins, add-ons, ex.). Today, I am thrilled to introduce Olle, your AI toolbar assistant for macOS. Whether you choose to utilize Olle as a seamless toolbar extension or engage in a conversation with it through chat mode, this tool will help you do more with less. Let me know what you guys think as I care about what fellow devs have to say :) Check out the tool here: https://olle.ai/

Visit product View on Hacker NewsOct 26, 2023

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

85%85% 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: mac, macos, model · Missing: agents, agent, cursor

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

50%50% 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: platform · Missing: plus, intuitive, reviews

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, monthly · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat, introduce · Missing: web3, crypto, cryptocurrency

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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