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Orchetta – the customer journey management platform

Hacker News

Orchetta – the customer journey management platform

Hey Hackers News, I've spent a bunch of time as a customer experience manager and I've always struggled with the existing ways we as an industry manage complex customer journeys in disparate systems, Miro boards and slide decks. I've always wanted something that could bring some structure to this chaos. So I've built a tool for people that want to work around customer journeys - and with the rise of customer journey management as a practice, it's really good timing. Orchetta is for product managers, experience managers and journey managers that have to manage really complex experiences (think multi-product, multi-category organisations) and all the moving pieces that go along with that. You can track the customer journey frameworks, individual journeys and the needs, values, issues and opportunities along that journey. Customer needs are to be satisfied, issues are to be resolved, opportunities are to be developed and values are to be protected. If you want to have a play with the platform, head to demo.orchetta.com. Really open to feedback from people that build complex customer journeys themselves. Thanks, tomcnle

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Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
77%77% 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: new, open · Missing: mac, agents, macos
73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: way, para · Missing: mobile apps, ios, personal
56%56% predicted probability of success on TrustMRR, 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
47%47% 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
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
10%10% 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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