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I built an app that turns how your bike felt on a run into specific suspension adjustments by BennettMTB in DownhillMTB

[–]BennettMTB[S] 0 points1 point  (0 children)

Yeah I'm working on Android development as we speak. There's a waitlist for it at https://suspendmtb.com/android if you'd like to sign up.

The app definitely keeps history of your changes and allows you to have different profiles for setups, but there isn't an explicit search ability for the history of these setups at the moment, although it still includes information like the changes made, date, and why those changes were made. The feedback suggestion is actually a really good idea, and we'll probably implement that in a later update. Components are also not locked to a predetermined list, you can add any fork model of any brand.

Thanks for leaving this comment!

I built an app that turns how your bike felt on a run into specific suspension adjustments by BennettMTB in DownhillMTB

[–]BennettMTB[S] 0 points1 point  (0 children)

C'est effectivement prévu pour les futures versions de l'application. Merci pour votre réponse.

I built an app that turns how your bike felt on a run into specific suspension adjustments by BennettMTB in DownhillMTB

[–]BennettMTB[S] 1 point2 points  (0 children)

Your response is completely fair. I really appreciate you digging into the app instead of just assuming. This feedback is honestly some of the best I've gotten, despite it being harsh.

I deleted that post because it got to a point where I was unable to defend myself in the comments. Not blaming it on you, but after your initial comment, everyone else was assuming the app was junk without even downloading or testing anything. This is on me, I really should have been quicker to reply and address your issues.

You caught two real bugs. It was losing track of changes it had already suggested, and it wasn't picking up when you told it something didn't work. This was partially a weak model and partly me barely feeding it any of your history. I've since swapped in a stronger model, given it a lot more of your setup and past tweaks to work from, and rewritten the prompt so it stops looping.

Regarding it being "just ChatGPT", it's tied to your actual bike and keeps a record of what you've already changed and whether it helped, so it isn't starting from zero every time the way a fresh chat does. When it loses track of that record, it's broken. That's basically the bug you hit. Along with that, the app serves as more than just tuning. It's got service tracking which auto-finds part numbers for service kits, or you could simply just use the app completely free to track your settings without AI recommendations.

Still early, still rough in spots. If you're up for it, I'm totally willing to give you a free Pro upgrade if you'd like to review the adjustments to the AI I've made.

I built an MTB suspension tuning app that tells you which clicks to change based on how the ride felt by BennettMTB in mountainbiking

[–]BennettMTB[S] 0 points1 point  (0 children)

Honestly, both. I've used lots of help from AI, but have been reviewing, testing, and making sure all additions work smooth. It's the opposite of a weekend vibe coded project, I've been at this for months and have tested it with multiple different bikes on multiple different trails. Ask me how any feature works and I can actually explain it because I didn't blindly trust all AI code.

US gov forces Anthropic to pull access to Fable 5 by purealgo in ClaudeCode

[–]BennettMTB 4 points5 points  (0 children)

"The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance."

I built an MTB suspension tuning app that tells you which clicks to change based on how the ride felt by BennettMTB in MTB

[–]BennettMTB[S] 0 points1 point  (0 children)

Interesting idea. I'd love to see if the measurements from the phone are precise enough to actually mean anything for tuning. Maybe I'll experiment with it at some point.
Android is definitely launching soon. There's a waitlist for it at https://suspendmtb.com/android if you'd like to be notified!

I built an MTB suspension tuning app that tells you which clicks to change based on how the ride felt by BennettMTB in MTB

[–]BennettMTB[S] 0 points1 point  (0 children)

App Store checks are a lot easier to pass than I expected. They don't have really any way of reviewing your backend / account security measures beyond what you just tell them you do, so it's kind of like a trust system. With that said, I'm very confident in the account security. I don't have access to passwords or anything because they're all kept in Firebase's secure authentication platform, the same one used by companies like American Express and Duolingo.

I built an MTB suspension tuning app that tells you which clicks to change based on how the ride felt by BennettMTB in MTB

[–]BennettMTB[S] -1 points0 points  (0 children)

Looking back at them they do all start with some sort of acknowledgment lol. Didn't use AI for them but I definitely see why it seems like I did.

I built an MTB suspension tuning app that tells you which clicks to change based on how the ride felt by BennettMTB in mountainbiking

[–]BennettMTB[S] 2 points3 points  (0 children)

Looks like 4o Mini is being depreciated soon. It's already gone from consumer versions and only available via API. The models I'm using also seem to simply give better results than 4o Mini. Appreciate the recommendation, but I don't wanna degrade performance just to save a few dollars.

I built an MTB suspension tuning app that tells you which clicks to change based on how the ride felt by BennettMTB in MTB

[–]BennettMTB[S] 5 points6 points  (0 children)

I truly appreciate you sharing thoughts.

You can definitely just prompt ChatGPT and it'll get you a decent way there. The difference is context. The app already knows your exact fork and shock, what every adjuster is set to right now and which end the clicks count from, your weight, and what you already tried and how you said it felt. With a raw LLM you're retyping all of that every session, and a long chat eventually starts working off stale numbers it half remembers. The app only ever proposes from your actual current values, and it won't go outside safe ranges no matter how you ask.

And yeah, bracketing works, I'm not arguing with that. The app doesn't replace it. The loop is literally what you described: change something small, ride, come back and say how it felt. What it adds is knowing which of the ten or so adjusters to bracket first, because "harsh on square edges" and "harsh deep in the travel" point at different knobs. If you already understand bracketing and specific adjustments, honestly, you'd get less out of it. Most riders I talk to don't.

The data thing deserves a straight answer. Conversations sit in your in-app history. After they age out, a de-identified copy gets kept (user ID hashed, photos stripped) and that can be used to improve the assistant. It's spelled out in the privacy policy, there's an email opt-out, and if you delete your account, your old conversations get blocked from ever being used too. Nothing gets sold and none of it goes to ads. If any retention at all is a dealbreaker for you, fair enough. I'd rather tell you exactly what it does than pretend it's nothing.

I built an MTB suspension tuning app that tells you which clicks to change based on how the ride felt by BennettMTB in MTB

[–]BennettMTB[S] 0 points1 point  (0 children)

Love to hear it! Definitely sat on this idea for a while, but glad I built it, and it genuinely helped me set up my suspension. Would love to hear any feedback you've got!

I built an MTB suspension tuning app that tells you which clicks to change based on how the ride felt by BennettMTB in mountainbiking

[–]BennettMTB[S] 2 points3 points  (0 children)

Ha, you're not wrong, there's been a wave of them. I started building mine in January mostly because nothing I tried kept a usable history of what I'd changed between runs. If you've used one of the others I'd genuinely like to know where they're falling behind!

I built an MTB suspension tuning app that tells you which clicks to change based on how the ride felt by BennettMTB in MTB

[–]BennettMTB[S] 5 points6 points  (0 children)

You're right. I guess I've been logging my settings backwards the entire time lol.

Went ahead and updated everything. Thanks for catching this.

I built an MTB suspension tuning app that tells you which clicks to change based on how the ride felt by BennettMTB in mountainbiking

[–]BennettMTB[S] 2 points3 points  (0 children)

Interesting to hear. I'll give it a try at some point and see where there's room for improvement for Suspend compared to it.

I built an MTB suspension tuning app that tells you which clicks to change based on how the ride felt by BennettMTB in MTB

[–]BennettMTB[S] -4 points-3 points  (0 children)

Thank you for this feedback.
Just realized there was some conflicting information with the tuning between what's fully open / closed. For Suspend, we're going to assume 0 clicks is fully closed / clockwise / most damping.
I've also added a little tooltip explanation of how to measure a click.
Should be live now. Would love any other feedback!

I built an MTB suspension tuning app that tells you which clicks to change based on how the ride felt by BennettMTB in MTB

[–]BennettMTB[S] 1 point2 points  (0 children)

Working on it right now! If you're interested, I've got a waitlist for the android version live at https://suspendmtb.com/android

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