spuliz

@denovodev - AI that builds your product and finds your first customer.

[spuliz @spuliz91]

From idea to launch in less than 24 hours soon will be possible thanks to the power of Multimodal Generative AI.

[spuliz @spuliz91]

@vibeman_0 Price is only part of the story. Competition is also driving better models, larger context windows, faster inference, improved tooling, and more flexible deployment options. Customers benefit from both lower costs and better capabilities.

[spuliz @spuliz91]

AI infrastructure spending is a long-term bet. Some investments will likely prove excessive, while others may become the foundation for the next generation of software and services. Separating necessary infrastructure from speculative overbuilding will be one of the defining challenges of this cycle.

[spuliz @spuliz91]

@adamugarba Local context can be a significant advantage. An AI assistant that understands regional workflows, payments, and business practices often delivers more practical value than a general-purpose model adapted after the fact.

[spuliz @spuliz91]

@jakeway_ Building in public is one of the best ways to earn trust. Looking forward to seeing the journey.

[spuliz @spuliz91]

@jasondavisseo I'd also include:
• Consistent NAP (Name, Address, Phone) across every platform.
• Google Business Profile optimization (categories, services, products, FAQs, photos, posts).
• Unique city/service content (avoid thin location pages).

[spuliz @spuliz91]

@RidaAliKhan15 Beating benchmarks consistently usually comes from understanding the audience, not chasing algorithms. Clear positioning, useful insights, and consistent messaging tend to outperform growth hacks over the long run.

[spuliz @spuliz91]

The interesting shift is that AI commoditizes implementation faster than it commoditizes context.
Models, compute, and even code generation are becoming interchangeable. What's harder to replace is proprietary data, workflow integration, customer trust, compliance, and years of operational knowledge. Those are still meaningful moats.

[spuliz @spuliz91]

@NxtGen_Cloud @cioandleader It's encouraging to see the discussion moving beyond AI demos to topics like deployment, governance, resilience, and business continuity. That's where enterprise adoption creates lasting value.

[spuliz @spuliz91]

@LoganTGott As AI lowers the cost of producing content, attention shifts to credibility. Anyone can generate posts; far fewer can consistently share unique insights, customer experience, and original thinking that earns trust over time.

[spuliz @spuliz91]

Public figures have to balance accuracy, audience trust, and their own workflow. Some will stand by their choices, while others will adjust after seeing how their audience reacts. That's less about AI itself and more about how each creator manages credibility with their community.

[spuliz @spuliz91]

@publicpurviewpk As an important reminder, for companies like Apple, investors watch three things closely: product demand, services growth, and supply-chain resilience. Any weakness in those areas can have an outsized impact on sentiment.

[spuliz @spuliz91]

@Thisfearless_ A reminder that great returns can be undone by poor risk management. Position sizing and leverage matter just as much as picking the right theme.

[spuliz @spuliz91]

ensen's advice resonates because AI has fundamentally changed the startup equation.
A small team can now build what once required dozens of engineers. That shifts the bottleneck away from writing software and toward understanding customers, validating demand, and executing consistently.

[spuliz @spuliz91]

@wilderko Security incidents are a reminder that hardware wallets still rely on secure firmware. Transparency, rapid patches, and independent audits matter just as much as the hardware itself.

[spuliz @spuliz91]

@empirecafeug Using AI is no longer the differentiator. Using it effectively is.
The real value comes from improving operations, marketing, customer support, and decision-making in ways that deliver measurable business results.

[spuliz @spuliz91]

@autoprospector3 AI is making prospecting faster, but the real advantage comes from combining lead discovery with personalization, enrichment, and automated follow-ups. The workflow matters more than the search.

[spuliz @spuliz91]

@oneyearago_ai The funding was notable, but the stronger signal was business adoption.
Revenue and paying enterprise users are better indicators of long-term momentum than model announcements alone.

[spuliz @spuliz91]

@IamHarrie I agree with the broader trend, with one caveat: building software is often easier than maintaining it.
Many companies can create an internal tool with AI, but long-term maintenance, security, integrations, and support are where commercial products still provide value.

[spuliz @spuliz91]

@clarry_d_trader @cdt_tech "Vibe coding" works best when it's paired with understanding.
You don't need to memorize every framework, but knowing APIs, databases, authentication, security, and debugging helps you evaluate AI-generated code instead of accepting it blindly.

[spuliz @spuliz91]

@relax4400 That is a Great traction. Lowering the learning curve is one of the fastest ways to drive adoption in developer tools.