u/Comfortable-Bike9080

Be honest. How much money have you spent on AI companion apps total?

No judgment zone. I just did the math on mine and I'm lowkey embarrassed.

Between subscr͏iptions, token top-ups, coin packs, and that one time I upgr͏aded to a yearly plan I forgot to cancel... I'm at around $380 in the past 8 months. Across three different platforms.

And the worst part is I didn't even notice it adding up. $13 here, $25 there, "just one more coin pack" every few weeks. It felt like nothing in the moment. Then I checked my bank statements and yeah.

I know some of you have spent way more. I know some of you are on fr͏ee tiers only. I just want to know where everyone actually lands because nobody talks about this part.

Drop your number. Be honest. No shame.

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been testing every nsfw ai companion app for months, only one actually ships all four features instead of faking three

the pattern across these apps is always the same. they pick one feature to do halfway ok and the rest is stage dressing. candy ai has decent chat but the image gen drifts character and the video is a wiggle loop. replika and nomi went sfw or soft-nsfw, dead for this use case. kindroid has memory but no real image or video pipeline. soulkyn does images but chat is flat and no video layer. spicychat uncensors the chat but theres no generation at all, its text only. dreamgf and crushon are somewhere in the middle, one ok feature each and the rest missing or gated behind a second subscri͏ption.

love͏scape is the only ai companion app ive found actually shipping across all four, nsfw chat, image gen, video gen, and voice, without one of them being a de͏mo or a coming-soon page. chat holds dom/sub dynamic without slipping into safety speak, joi pacing is clean, dirty talk doesnt get softened into poetry. image gen is lora per character so the same girl shows up the same way across 50 stills, character consistency actually holds. i2v video inherits the lora so the face survives a 5 to 10 second clip, not the static image with a boob bounce trick every other app pulls. voice is tts but its uncensored tts, not "i cant read that". memory persists across sessions and survives switching between chat mode and generation mode which is where kindroid and nomi break.

not flawless. video queue drags at peak hours, hands still get weird on longer clips, and getting a new character dialed in takes 15 minutes of iteration on the image before the lora locks. but feature-for-feature its the only nsfw ai girlfriend app where every module actually works, the rest are a single shiny demo masking three broken ones.

whats on your shortlist if youve been cycling through these, curious if theres one im missing that actually stacks

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u/Comfortable-Bike9080 — 9 days ago

32M, have been in SaaS for approximately 8 years and I am just about over with it at this point. Two layoffs in a row and the consistent stress to keep up with AI tools that are gradually taking over the job anyway. I cannot see myself doing this in the long run. Want to try something where I can still use systems and automation but without the same environment.

I began to test Air͏bnb with my own place approximately a month ago. It is a 1-bed condo and it is earning about allowing net of basic costs approx 2.5k/month. Not much crazy but enough to make me consider it more as a serious possibility rather than a mere peripheral affair.

Been reading a lot, mostly Reddit threads, some Air͏DNA data, random YouTube video and I keep landing on the same two paths people talk about Airbnb arbitrage and co-listing / co-hosting. I understand the basics but I don’t feel like I fully get what day-to-day actually looks like for either.

As far as I have understood arbitrage resembles a long-term lease with you furnishing the unit, getting the landlord to approve it and listing it as short-term, attempting to establish the difference between rent and the nightly revenue. That one is reasonable, but it also seems like you are putting alot at risk in the short-run. Furniture expenses, lease obligation, and then hoping occupancy holds. I have heard people say that they require approximately 60-70 percent occupancy to be on the safe side.

Co-listing is much more different. You deal with property owners already furnished and you are essentially running operations on a percentage. Communicating, pay, organizing cleaning, communicating with guests. There is no lease, no furnishing but you are at the mercy of the relationship of owner.

It is at this point that I am stuck. Co-listing sounds simple when people explain it but then I read posts where people lose clients quickly or struggle to get their first one. Arbitrage feels more easier in terms of control but the capital requirement and regulation risk is a concern, especially with how fast rules seem to change in some cities. I also lack $15k+ to invest in several units at the moment and arbitrage seems a little beyond reach unless I begin very small. Simultaneously I do not have a background in sales and hence the thought of pitching owners to co host is a concept with which I am neither comfortable or familiar with at the moment. I do have experience with systems. I feel at ease using such tools as Zapier, automations, dashboards, anything that works. I just don’t know which model actually benefits more from that skill set early on. For anyone who started recently or pivoted from a similar background where did you start. how long did it take to get your first stable setup? What does a realistic Year 1 look like? Trying to find out what is worth learning well vs what can be determined with free content. I have heard a few references to co-hosting guides and courses but am unsure of what value is actually added as opposed to information that is just packaged. Appreciate any real input.

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u/Comfortable-Bike9080 — 10 days ago

we're 18 months in and still strugling with this. started with "b2b saas companies" which is basically everyone with a laptop these days. tried narrowing down to verticals but that killed our TAM. tried company size bands but a 50-person fintech and a 50-person agency are totaly different beasts.

even built an ideal customer profile template doc with all the standard fields - firmographics, technographics, pain points, whatever - but it still feels like we're guessing. like 0.8% on cold email, maybe 2% on LinkedIn. our SDR is getting frustrated and honestly I dont blame him.

we've been pulling prospect lists from Zoom͏Info but the targeting just isnt working when the ICP itself is fuzzy. garbage in garbage out I guess.

what worked for you? did you start broad and narrow down based on who actually converted? or did you define icp super tight from day one? feels like every blog post says somthing different and most icp templates i've found are either too basic or overcomplicated academic nonsense that nobody actually uses.

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u/Comfortable-Bike9080 — 12 days ago